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2010 – 2019
- 2014
[j36]Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Performance Comparison of Collaborative Filtering with k-Anonymized Data by Fuzzy k-Member Clustering. J. Adv. Comput. Intell. Intell. Informatics 18(2): 239-245 (2014)- [j35]Toshiro Ogita, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda:
Improvement of PCA-Based Approximate Nearest Neighbor Search Using Distance Statistics. J. Adv. Comput. Intell. Intell. Informatics 18(4): 658-664 (2014) - 2013
- [j34]Masahiro Inuiguchi, Hidetomo Ichihashi:
Obituary. Fuzzy Sets Syst. 213: 1-5 (2013) - [j33]Katsuhiro Honda, Takeshi Yamamoto, Akira Notsu, Hidetomo Ichihashi:
Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework. J. Adv. Comput. Intell. Intell. Informatics 17(2): 312-317 (2013) - [c98]Shunsuke Iwata, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Fuzzy c-Regression Models with direction-dependent uncertainty and its application to residential solar electric power analysis. FUZZ-IEEE 2013 - [c97]Mai Muranishi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
A cluster validity index for FCM-type co-clustering. FUZZ-IEEE 2013 - [c96]Takuya Kobayashi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier. ICONIP (3) 2013: 93-100 - 2012
- [j32]Yuki Komori, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi:
Automatic Adaptive Space Segmentation for Reinforcement Learning. Int. J. Fuzzy Log. Intell. Syst. 12(1): 36-41 (2012) - [c95]Katsuhiro Honda, Arina Kawano, Akira Notsu, Hidetomo Ichihashi:
A fuzzy variant of k-member clustering for collaborative filtering with data anonymization. FUZZ-IEEE 2012: 1-6 - [c94]Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi:
Alternative fuzzy c-lines and comparison with noise clustering in cluster validation. FUZZ-IEEE 2012: 1-6 - [c93]Hidetomo Ichihashi, Toshiro Ogita, Katsuhiro Honda, Akira Notsu:
Improvement by sorting and thresholding in PCA based nearest neighbor search. FUZZ-IEEE 2012: 1-6 - [c92]Yui Matsumoto, Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Application of cluster validity criteria to Rock-Paper-Scissors game judgment. FUZZ-IEEE 2012: 1-5 - [c91]Katsuhiro Honda, Yui Matsumoto, Arina Kawano, Akira Notsu, Hidetomo Ichihashi:
A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering. IIMSS 2012: 43-52 - [c90]Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Ayaka Ido, Yuki Komori:
Information compression effect based on PCA for reinforcement learning agents' communication. SCIS&ISIS 2012: 1318-1321 - [c89]Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi:
FCM-type co-clustering with exclusive partition of selected items and application to collaborative filtering. SCIS&ISIS 2012: 1327-1330 - [c88]Katsuhiro Honda, Shotaro Osaka, Akira Notsu, Hidetomo Ichihashi:
Template-based fuzzy clustering with cluster-wise coordinate transformation. SCIS&ISIS 2012: 1331-1334 - [c87]Tsuyoshi Beppu, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi:
Reinforcement learning with particles for instant optimality. SCIS&ISIS 2012: 1528-1533 - [c86]Ryoichi Nonoguchi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Cluster validation in k-Means clustering of mixed databases based on principal component analysis. SCIS&ISIS 2012: 1784-1789 - [c85]Sakuya Nakao, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Robust local subspace learning by linear fuzzy clustering with Alternative c-Means criterion. SCIS&ISIS 2012: 1790-1795 - [c84]Yui Matsumoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
FCM-type co-clustering of categorical multivariate data with exclusive partition. SCIS&ISIS 2012: 1796-1800 - [c83]Takuya Kobayashi, Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu:
Mixed usage of MATLAB and visual C for improving classification time and training time of FCM classifier. SCIS&ISIS 2012: 1994-1998 - [c82]Hidetomo Ichihashi, Toshiro Ogita, Akira Notsu, Katsuhiro Honda:
PCA-Tree NNS with two approximation methods and annulus bound method. SCIS&ISIS 2012: 1999-2003 - [c81]Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Comparison on membership functions in fuzzy k-member clustering for data anonymization. SCIS&ISIS 2012: 2004-2008 - 2011
- [j31]Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. Adv. Fuzzy Syst. 2011: 265170:1-265170:10 (2011) - [j30]Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi:
Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure. Int. J. Fuzzy Syst. Appl. 1(1): 49-60 (2011) - [j29]Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi:
Alternative fuzzy c-lines and local principal component extraction. Int. J. Knowl. Eng. Soft Data Paradigms 3(2): 188-200 (2011) - [j28]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization. J. Adv. Comput. Intell. Intell. Informatics 15(1): 83-89 (2011) - [j27]Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1050-1056 (2011) - [c80]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu:
Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM. FUZZ-IEEE 2011: 386-393 - [c79]Hidetomo Ichihashi, Li Chieu Lam, Katsuhiro Honda, Akira Notsu:
Ellipse detection with hard c-regression models and random initializations. FUZZ-IEEE 2011: 394-400 - [c78]Katsuhiro Honda, Yui Matsumoto, Akira Notsu, Hidetomo Ichihashi:
A study on regularization effects of fuzzified memberships in FCM clustering. FUZZ-IEEE 2011: 416-421 - [c77]Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data. FUZZ-IEEE 2011: 792-798 - [c76]Daisuke Yoshida, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction. FUZZ-IEEE 2011: 799-803 - [c75]Akira Notsu, Yuki Komori, Katsuhiro Honda, Hidetomo Ichihashi:
Influence of the space segmentation and its adaptive automation for reinforcement learning. FUZZ-IEEE 2011: 1079-1083 - [c74]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Partially exclusive condition for sequential fuzzy co-cluster extraction. FUZZ-IEEE 2011: 1695-1700 - [c73]Katsuhiro Honda, Ryoichi Nonoguchi, Akira Notsu, Hidetomo Ichihashi:
PCA-guided k-Means clustering with incomplete data. FUZZ-IEEE 2011: 1710-1714 - [c72]Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi:
Proposed particle-filtering method for reinforcement learning. FUZZ-IEEE 2011: 1755-1718 - [c71]Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion. ICMLA (2) 2011: 334-337 - [c70]Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto:
Improvement of Particle Filter for Reinforcement Learning. ICMLA (1) 2011: 454-457 - [c69]Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori:
Simple Reinforcement Learning for Small-Memory Agent. ICMLA (1) 2011: 458-461 - 2010
- [j26]Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Local subspace learning by extended fuzzy c-medoids clustering. Int. J. Knowl. Eng. Soft Data Paradigms 2(2): 169-181 (2010) - [j25]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data. Int. J. Knowl. Eng. Soft Data Paradigms 2(4): 312-327 (2010) - [j24]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Fuzzy PCA-Guided Robust k -Means Clustering. IEEE Trans. Fuzzy Syst. 18(1): 67-79 (2010) - [c68]Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi:
PCA-guided fuzzy cluster validation with noise rejection. FUZZ-IEEE 2010: 1-6 - [c67]Hidetomo Ichihashi, Tatsuya Katada, Makoto Fujiyoshi, Akira Notsu, Katsuhiro Honda:
Improvement in the performance of camera based vehicle detector for parking lot. FUZZ-IEEE 2010: 1-7 - [c66]Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda:
Semi-hard c-means clustering with application to classifier design. FUZZ-IEEE 2010: 1-8 - [c65]Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda:
Fuzzy and Semi-hard c-Means Clustering with Application to Classifier Design. IUM 2010: 465-476
2000 – 2009
- 2009
- [j23]Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda, Osamu Katai:
Visualization of balancing systems based on naïve psychological approaches. AI Soc. 23(2): 281-296 (2009) - [c64]Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda, Tatsuya Katada, Makoto Fujiyoshi:
Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier. FUZZ-IEEE 2009: 127-134 - [c63]Katsuhiro Honda, Tomonari Nomaguchi, Akira Notsu, Hidetomo Ichihashi:
A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis. FUZZ-IEEE 2009: 1101-1106 - [c62]Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point. FUZZ-IEEE 2009: 1131-1136 - [c61]Kazuya Nagaura, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda:
Benchmarking parameterized fuzzy c-Means classifier. FUZZ-IEEE 2009: 1137-1144 - [c60]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach. FUZZ-IEEE 2009: 1540-1545 - [c59]Tomohiro Matsui, Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi:
Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores. FUZZ-IEEE 2009: 1546-1550 - [c58]Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi:
Conceptual graph generation from text documents based on perceptual balance. FUZZ-IEEE 2009: 1551-1556 - [c57]Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi:
A fuzzy model-based community simulator for behavior analysis in virtual theme park. FUZZ-IEEE 2009: 1557-1562 - [c56]Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda:
Triplet of FCM classifiers. FUZZ-IEEE 2009: 1826-1833 - [c55]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering. MDAI 2009: 282-292 - 2008
- [b1]Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda:
Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications. Studies in Fuzziness and Soft Computing 229, Springer 2008, ISBN 978-3-540-78736-5, pp. 1-233 [contents] - [c54]Yu Yamamoto, Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda:
Agent-based social simulation based on cognitive economic efficiency. IEEE Congress on Evolutionary Computation 2008: 1089-1094 - [c53]Katsuhiro Honda, Takahiro Ohyama, Hidetomo Ichihashi, Akira Notsu:
FCM-type switching regression with alternating least squares method. FUZZ-IEEE 2008: 122-127 - [c52]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Eri Miyamoto:
FCM classifier for high-dimensional data. FUZZ-IEEE 2008: 200-206 - [c51]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Keiichi Ohta:
Fuzzy c-means classifier with particle swarm optimization. FUZZ-IEEE 2008: 207-215 - [c50]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori:
Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms. FUZZ-IEEE 2008: 216-224 - [c49]Naoki Haga, Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu:
Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids. FUZZ-IEEE 2008: 366-371 - [c48]Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
A Perceptual Approach to User Clustering in Collaborative Filtering. GrC 2008: 281-285 - [c47]Katsuhiro Honda, Hiromichi Araki, Tomohiro Matsui, Hidetomo Ichihashi:
A new approach to robust k-Means clustering based on fuzzy principal component analysis. IJCNN 2008: 208-213 - [c46]Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda:
State and action space segmentation algorithm in Q-learning. IJCNN 2008: 2384-2389 - 2007
- [j22]Katsuhiro Honda, Hidetomo Ichihashi:
A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights. J. Adv. Comput. Intell. Intell. Informatics 11(1): 28-34 (2007) - [j21]Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi:
Quantification of Multivariate Categorical Data Considering Typicality of Item. J. Adv. Comput. Intell. Intell. Informatics 11(1): 35-39 (2007) - [j20]Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi:
FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification. J. Adv. Comput. Intell. Intell. Informatics 11(2): 162-167 (2007) - [j19]Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli
, Stefano Rovetta:
Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach. IEEE Trans. Fuzzy Syst. 15(5): 878-889 (2007) - [c45]Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura:
Fuzzy c-Means Classifier for Relational Data. CIDM 2007: 328-334 - [c44]Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori:
Post-supervised Fuzzy c-Means Classifier with Hard Clustering. CIDM 2007: 583-589 - [c43]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi:
Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation. FOCI 2007: 214-221 - [c42]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori:
Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function. FOCI 2007: 447-453 - [c41]Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi, Akira Notsu:
Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables. FUZZ-IEEE 2007: 1-6 - [c40]Takahiro Yamanoi, Hisashi Toyoshima, Hidetomo Ichihashi:
Spatiotemporal brain activities in recalling sentence by loci mnemonic system. SMC 2007: 1878-1883 - 2006
- [j18]Katsuhiro Honda, Hidetomo Ichihashi:
Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases. Int. J. Approx. Reason. 42(3): 159-173 (2006) - [c39]Ryo Uesugi, Katsuhiro Honda, Hidetomo Ichihashi:
Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling. FUZZ-IEEE 2006: 778-782 - [c38]Tatsuya Maenaka, Katsuhiro Honda, Hidetomo Ichihashi:
Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis. FUZZ-IEEE 2006: 857-862 - [c37]Hidetomo Ichihashi, Katsuhiro Honda, Takao Hattori:
Regularized Discriminant in the Setting of Fuzzy c-Means Classifier. FUZZ-IEEE 2006: 875-880 - [c36]Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu:
Simultaneous Application of PLS Regression and FCM-type Clustering. FUZZ-IEEE 2006: 881-886 - [c35]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Kurokawa:
Exploratory Approach to fMRI Study with Fuzzy Clustering and General Linear Model. FUZZ-IEEE 2006: 1167-1174 - [c34]Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu:
Postsupervised Hard c-Means Classifier. RSCTC 2006: 918-927 - [c33]Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta:
Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. RSCTC 2006: 939-948 - [c32]Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda:
Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance. SMC 2006: 724-728 - [c31]Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu:
A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering. SMC 2006: 1056-1061 - 2005
- [j17]Katsuhiro Honda, Hidetomo Ichihashi:
Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models. IEEE Trans. Fuzzy Syst. 13(4): 508-516 (2005) - [c30]Hidetomo Ichihashi, Katsuhiro Honda:
Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values. CIMCA/IAWTIC 2005: 457-464 - [c29]Hidetomo Ichihashi, Katsuhiro Honda, Noboru Wakami:
Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering. FUZZ-IEEE 2005: 640-645 - [c28]Hidetomo Ichihashi, Katsuhiro Honda:
FCM Clustering from the View Point of Iteratively Reweighted Least Squares. FUZZ-IEEE 2005: 873-878 - [c27]Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta:
Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering. FUZZ-IEEE 2005: 985-990 - [c26]Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi:
Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. MDAI 2005: 164-171 - [c25]Katsuhiro Honda, Hidetomo Ichihashi:
A New Approach to Fuzzification of Memberships in Cluster Analysis. MDAI 2005: 172-182 - 2004
- [j16]Katsuhiro Honda, Hidetomo Ichihashi:
Component-wise robust linear fuzzy clustering for collaborative filtering. Int. J. Approx. Reason. 37(2): 127-144 (2004) - [j15]Katsuhiro Honda, Yoshihito Nakamura, Hidetomo Ichihashi:
Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data. J. Adv. Comput. Intell. Intell. Informatics 8(4): 397-402 (2004) - [j14]Hidetomo Ichihashi, Katsuhiro Honda:
Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information. J. Adv. Comput. Intell. Intell. Informatics 8(6): 566-572 (2004) - [j13]Katsuhiro Honda, Hidetomo Ichihashi:
Linear fuzzy clustering techniques with missing values and their application to local principal component analysis. IEEE Trans. Fuzzy Syst. 12(2): 183-193 (2004) - [c24]Hidetomo Ichihashi, Katsuhiro Honda, Shoichi Araki:
Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics. FUZZ-IEEE 2004: 155-160 - [c23]Hidetomo Ichihashi, Katsuhiro Honda:
On parameter setting in applying Dave's noise fuzzy clustering to Gaussian mixture models. FUZZ-IEEE 2004: 1501-1506 - [c22]Katsuhiro Honda, Hidetomo Ichihashi:
Detection of local linear structure from data with uncertainties. FUZZ-IEEE 2004: 1507-1511 - 2003
- [c21]Yoshio Mori, Katsuhiro Honda, Akihiro Kanda, Hidetomo Ichihashi:
A unified view of probabilistic PCA and regularized linear fuzzy clustering. IJCNN 2003: 541-546 - [c20]Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi:
Robust local principal component analyzer with fuzzy clustering. IJCNN 2003: 732-737 - 2002
- [c19]Hidetomo Ichihashi, Katsuhiro Honda:
Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy. FSKD 2002: 471-475 - [c18]Katsuhiro Honda, Nobuhiro Togo, Taro Fujii, Hidetomo Ichihashi:
Linear fuzzy clustering based on least absolute deviations. FUZZ-IEEE 2002: 1444-1449 - 2001
- [c17]Hidetomo Ichihashi, Kiyotaka Miyagishi, Katsuhiro Honda:
Fuzzy C-Means Clustering With Regularization by K-L Information. FUZZ-IEEE 2001: 924-927 - [c16]Tomoe Entani, Hidetomo Ichihashi, Kazutomi Sugihara, Hideo Tanaka:
Analytic Hierarchy Process Based on Interval Analysis. FUZZ-IEEE 2001: 956-959 - [c15]Tomoe Entani, Hidetomo Ichihashi, Hideo Tanaka:
Optimistic Priority Weights with an Interval Comparison Matrix. JSAI Workshops 2001: 344-348 - [c14]Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi, Shoichi Araki:
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering. Web Intelligence 2001: 394-402 - 2000
- [c13]Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi:
Parameter Specification for Fuzzy Clustering by Q-Learning. IJCNN (4) 2000: 9-12 - [c12]Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi:
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. IJCNN (3) 2000: 377-380
1990 – 1999
- 1999
- [j12]Tetsuya Miyoshi, Hidetomo Ichihashi, Kazunori Nagasaka:
Fuzzy projection pursuit density estimation by eigenvalue method. Int. J. Approx. Reason. 20(3): 237-248 (1999) - [c11]Eriko Ikeda, Toshio Imaoka, Hidetomo Ichihashi, Tetsuya Miyoshi:
Nonlinear component analysis by fuzzy clustering and multidimensional scaling methods. IJCNN 1999: 2539-2543 - [c10]Asuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi:
Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis. IJCNN 1999: 4329-4333 - [c9]Asuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi:
Simultaneous application of clustering and correspondence analysis. IJCNN 1999: 4334-4338 - [c8]Eriko Ikeda, Hidetomo Ichihashi, Kazunori Nagasaka, Tetsuya Miyoshi:
LVQ-FCV for missing value estimation and pattern classification. IJCNN 1999: 4339-4344 - 1998
- [j11]Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka:
Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH. Inf. Sci. 110(1-2): 5-24 (1998) - [j10]Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi:
Neurofuzzy Cognitive Maps with Adaptive B-Splines. Inf. Sci. 110(1-2): 81-102 (1998) - [c7]Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, Y. Kanaumi:
Structural learning of neurofuzzy GMDH with Minkowski norm. KES (2) 1998: 100-107 - [c6]Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, N. Tani:
A pointing device using coordinate transformation of neurofuzzy GMDH. KES (2) 1998: 108-115 - 1996
- [j9]Hidetomo Ichihashi, T. Shirai, Kazunori Nagasaka, Tetsuya Miyoshi:
Neuro-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning. Fuzzy Sets Syst. 81(1): 157-167 (1996) - 1995
- [j8]Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, M. Tokunaga, T. Wakamatsu:
A neurofuzzy approach to variational problems by using Gaussian membership functions. Int. J. Approx. Reason. 13(4): 287-302 (1995) - [c5]Tetsuya Miyoshi, Hidetomo Ichihashi, S. Okamoto, T. Hayakawa:
Learning chaotic dynamics in recurrent RBF network. ICNN 1995: 588-593 - [c4]Tetsuya Miyoshi, Keisuke Nakao, Hidetomo Ichihashi, Kazunori Nagasaka:
Neuro-fuzzy projection pursuit regression. ICNN 1995: 766-770 - [c3]Y. Tachibana, G. H. Lee, Hidetomo Ichihashi, Tetsuya Miyoshi:
A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty. ICNN 1995: 1871-1875 - 1993
- [j7]Hidetomo Ichihashi, I. Burhan Türksen:
A neuro-fuzzy approach to data analysis of pairwise comparisons. Int. J. Approx. Reason. 9(3): 227-248 (1993) - [j6]Yoichiro Maeda, Hung T. Nguyen, Hidetomo Ichihashi:
Maximum Entropy Algorithms for Uncertainty Measures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 1(1): 69-94 (1993) - [j5]Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume:
Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory. Inf. Sci. 67(1-2): 93-126 (1993) - [c2]Hidetomo Ichihashi, M. Tokunaga:
Neuro-fuzzy optimal control of backing up a trailer truck. ICNN 1993: 306-311 - [c1]Hidetomo Ichihashi, I. Burhan Türksen:
A neuro-fuzzy approach with pairwise comparisons. ICNN 1993: 1010-1015 - 1992
- [j4]Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume:
Some properties of extended fuzzy preference relations using modalities. Inf. Sci. 61(3): 187-209 (1992) - [j3]M. K. Luhandjula, Hidetomo Ichihashi, Masahiro Inuiguchi:
Fuzzy and semi-infinite mathematical programming. Inf. Sci. 61(3): 233-250 (1992)
1980 – 1989
- 1989
- [j2]Hidetomo Ichihashi, Hideo Tanaka:
Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence. Int. J. Approx. Reason. 3(2): 143-156 (1989) - [j1]Masahiro Inuiguchi, Hidetomo Ichihashi, Hideo Tanaka:
Possibilistic Linear Programming with Measurable Multiattribute Value Functions. INFORMS J. Comput. 1(3): 146-158 (1989)
Coauthor Index
[j36] [j35] [j33] [c98] [c97] [c96] [j32] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [j31] [j30] [j29] [j28] [j27] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j26] [j25] [j24] [c68] [c67] [c66] [c65] [j23] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [b1] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [j22] [j21] [j20] [j19] [c45] [c44] [c43] [c42] [c41] [j18] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [j17] [c30] [c29] [c28] [c27] [c26] [c25] [j16] [j15] [j14] [j13] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c14] [c13] [c12]
[j36] [j35] [j33] [c98] [c97] [c96] [j32] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [j31] [j30] [j29] [j28] [j27] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j26] [j25] [j24] [c68] [c67] [c66] [c65] [j23] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c46] [c43] [c42] [c41] [c36] [c35] [c34] [c33] [c32] [c31]
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