TY - GEN
T1 - A maximizing model of Bezdek-like spherical fuzzy c-means clustering
AU - Kanzawa, Yuchi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/4
Y1 - 2014/9/4
N2 - In this study, a maximizing model of Bezdek-type spherical fuzzy c-means clustering is proposed, which is based on the regularization of the maximizing model of spherical hard c-means. Using theoretical analysis and numerical experiments, it is shown that the proposed method is not equivalent to the minimizing model of Bezdek-type spherical fuzzy c-means, because the effect of its fuzzifier parameter is different from that found in conventional methods.
AB - In this study, a maximizing model of Bezdek-type spherical fuzzy c-means clustering is proposed, which is based on the regularization of the maximizing model of spherical hard c-means. Using theoretical analysis and numerical experiments, it is shown that the proposed method is not equivalent to the minimizing model of Bezdek-type spherical fuzzy c-means, because the effect of its fuzzifier parameter is different from that found in conventional methods.
UR - http://www.scopus.com/inward/record.url?scp=84912572438&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84912572438&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2014.6891670
DO - 10.1109/FUZZ-IEEE.2014.6891670
M3 - Conference contribution
AN - SCOPUS:84912572438
T3 - IEEE International Conference on Fuzzy Systems
SP - 2482
EP - 2488
BT - Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Y2 - 6 July 2014 through 11 July 2014
ER -