default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVolodymyr Melnykov
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j29]Volodymyr Melnykov, Yang Wang, Yana Melnykov
, Francesca Torti, Domenico Perrotta, Marco Riani:
On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. J. Comput. Graph. Stat. 33(1): 303-309 (2024)- 2023
- [j28]Yingying Zhang, Volodymyr Melnykov, Igor Melnykov:
On Model-Based Clustering of Directional Data with Heavy Tails. J. Classif. 40(3): 527-551 (2023) - [j27]Volodymyr Melnykov, Yang Wang:
Conditional mixture modeling and model-based clustering. Pattern Recognit. 133: 108994 (2023) - 2022
- [j26]Xuwen Zhu, Shuchismita Sarkar, Volodymyr Melnykov:
MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling. J. Classif. 39(1): 147-170 (2022) - 2021
- [j25]Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova, Khrystyna Lishchuk-Yakymovych:
Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. Big Data Cogn. Comput. 5(3): 37 (2021) - [j24]Yana Melnykov, Xuwen Zhu, Volodymyr Melnykov:
Transformation mixture modeling for skewed data groups with heavy tails and scatter. Comput. Stat. 36(1): 61-78 (2021) - [j23]Volodymyr Melnykov, Shuchismita Sarkar, Yana Melnykov:
On finite mixture modeling and model-based clustering of directed weighted multilayer networks. Pattern Recognit. 112: 107641 (2021) - [j22]Yingying Zhang, Volodymyr Melnykov, Xuwen Zhu:
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns. Stat. Anal. Data Min. 14(3): 230-240 (2021) - [c6]Nataliia Melnykova, Roman Kulievych, Yaroslav Vycluk, Kateryna Melnykova, Volodymyr Melnykov:
Anomalies Detecting in Medical Metrics Using Machine Learning Tools. EUSPN/ICTH 2021: 718-723 - 2020
- [j21]Semhar Michael, Tatjana Miljkovic, Volodymyr Melnykov:
Mixture modeling of data with multiple partial right-censoring levels. Adv. Data Anal. Classif. 14(2): 355-378 (2020) - [j20]Shuchismita Sarkar, Volodymyr Melnykov, Rong Zheng:
Gaussian mixture modeling and model-based clustering under measurement inconsistency. Adv. Data Anal. Classif. 14(2): 379-413 (2020) - [j19]Volodymyr Melnykov, Semhar Michael:
Clustering Large Datasets by Merging K-Means Solutions. J. Classif. 37(1): 97-123 (2020) - [j18]Igor Melnykov, Volodymyr Melnykov:
A Note on the Formal Implementation of the K-means Algorithm with Hard Positive and Negative Constraints. J. Classif. 37(3): 789-809 (2020) - [j17]Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia:
On parsimonious models for modeling matrix data. Comput. Stat. Data Anal. 142 (2020) - [c5]Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Mariana Zakharchuk, Mykola Logoyda, Vitalii Mahlovanyi:
The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions. ACIT 2020: 422-425 - [c4]Nataliia Melnykova, Volodymyr Melnykov, Nataliya Shahovska, Natalia Lysa:
The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States. CSIT (1) 2020: 70-75 - [c3]Nataliya Shakhovska, Nataliia Melnykova, Volodymyr Melnykov, Vitaly Mahlovanyj, Nataliya Hrabovska:
The Novel Approach to Modeling the Spread of Viral Infections. CSIT 2020: 240-250 - [c2]Nataliia Melnykova, Natalya Shakhovska, Volodymyr Melnykov, Mykola Logoyda, Yulia Peleshchak:
The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19. IDDM 2020: 473-482
2010 – 2019
- 2019
- [j16]Volodymyr Melnykov, Xuwen Zhu:
Studying crime trends in the USA over the years 2000-2012. Adv. Data Anal. Classif. 13(1): 325-341 (2019) - [j15]Volodymyr Melnykov, Xuwen Zhu:
An extension of the K-means algorithm to clustering skewed data. Comput. Stat. 34(1): 373-394 (2019) - 2018
- [j14]Xuwen Zhu, Volodymyr Melnykov:
Manly transformation in finite mixture modeling. Comput. Stat. Data Anal. 121: 190-208 (2018) - [j13]Volodymyr Melnykov, Xuwen Zhu:
On model-based clustering of skewed matrix data. J. Multivar. Anal. 167: 181-194 (2018) - [c1]Nataliia Melnykova, Volodymyr Melnykov, Edgars Vasilevskis:
The Personalized Approach to the Processing and Analysis of Patients' Medical Data. IDDM 2018: 103-112 - 2017
- [j12]Xuwen Zhu, Volodymyr Melnykov:
ManlyMix: An R Package for Manly Mixture Modeling. R J. 9(2): 176 (2017) - 2016
- [j11]Volodymyr Melnykov, Igor Melnykov, Semhar Michael:
Semi-supervised model-based clustering with positive and negative constraints. Adv. Data Anal. Classif. 10(3): 327-349 (2016) - [j10]Semhar Michael, Volodymyr Melnykov:
An effective strategy for initializing the EM algorithm in finite mixture models. Adv. Data Anal. Classif. 10(4): 563-583 (2016) - [j9]Semhar Michael, Volodymyr Melnykov:
Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology. J. Classif. 33(3): 412-441 (2016) - [j8]Volodymyr Melnykov:
Model-based biclustering of clickstream data. Comput. Stat. Data Anal. 93: 31-45 (2016) - [j7]Semhar Michael, Volodymyr Melnykov:
Studying Complexity of Model-based Clustering. Commun. Stat. Simul. Comput. 45(6): 2051-2069 (2016) - 2015
- [j6]Xuwen Zhu, Volodymyr Melnykov:
Probabilistic assessment of model-based clustering. Adv. Data Anal. Classif. 9(4): 395-422 (2015) - 2013
- [j5]Volodymyr Melnykov, Gang Shen:
Clustering through empirical likelihood ratio. Comput. Stat. Data Anal. 62: 1-10 (2013) - [j4]Volodymyr Melnykov:
On the distribution of posterior probabilities in finite mixture models with application in clustering. J. Multivar. Anal. 122: 175-189 (2013) - 2012
- [j3]Volodymyr Melnykov, Igor Melnykov:
Initializing the EM algorithm in Gaussian mixture models with an unknown number of components. Comput. Stat. Data Anal. 56(6): 1381-1395 (2012) - [j2]Volodymyr Melnykov:
Efficient estimation in model-based clustering of Gaussian regression time series. Stat. Anal. Data Min. 5(2): 95-99 (2012) - 2011
- [j1]Volodymyr Melnykov, Ranjan Maitra:
CARP: Software for Fishing Out Good Clustering Algorithms. J. Mach. Learn. Res. 12: 69-73 (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
