A possibilistic type of alternative fuzzy c-means
MS Yang, KL Wu - … Conference on Fuzzy Systems. FUZZ-IEEE' …, 2002 - ieeexplore.ieee.org
MS Yang, KL Wu
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002•ieeexplore.ieee.orgThe alternative fuzzy c-means (AFCM) clustering algorithm proposed by Wu and Yang
(2001) has shown more robustness than the fuzzy c-means (FCM) on the basis of the robust
statistic and the influence function. We propose a possibilistic type of AFCM by relaxing the
restriction/spl Sigma//sub i= 1//sup c//spl mu//sub i/(x)= 1 for all data points x. The resulting
cluster memberships constitute a possibilistic partition which is different to a fuzzy partition
from AFCM. The comparisons of the proposed method to FCM, AFCM and possibilistic c …
(2001) has shown more robustness than the fuzzy c-means (FCM) on the basis of the robust
statistic and the influence function. We propose a possibilistic type of AFCM by relaxing the
restriction/spl Sigma//sub i= 1//sup c//spl mu//sub i/(x)= 1 for all data points x. The resulting
cluster memberships constitute a possibilistic partition which is different to a fuzzy partition
from AFCM. The comparisons of the proposed method to FCM, AFCM and possibilistic c …
The alternative fuzzy c-means (AFCM) clustering algorithm proposed by Wu and Yang (2001) has shown more robustness than the fuzzy c-means (FCM) on the basis of the robust statistic and the influence function. We propose a possibilistic type of AFCM by relaxing the restriction /spl Sigma//sub i=1//sup c/ /spl mu//sub i/(x)=1 for all data points x. The resulting cluster memberships constitute a possibilistic partition which is different to a fuzzy partition from AFCM. The comparisons of the proposed method to FCM, AFCM and possibilistic c-means are made.
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