Generalized Fuzzy c-Means Clustering and its Property of Fuzzy Classification Function
2021 ◽
Vol 25
(1)
◽
pp. 73-82
Keyword(s):
This study shows that a generalized fuzzy c-means (gFCM) clustering algorithm, which covers both standard and exponential fuzzy c-means clustering, can be constructed if a given fuzzified function, its derivative, and its inverse derivative can be calculated. Furthermore, our results show that the fuzzy classification function for gFCM exhibits a behavior similar to that of both standard and exponential fuzzy c-means clustering.
2019 ◽
Vol 23
(3)
◽
pp. 485-492
◽
Keyword(s):
2017 ◽
Vol 7
(6)
◽
pp. 668-670
2020 ◽
Vol 15
◽
pp. 155892502097832
2018 ◽
2013 ◽
Vol 765-767
◽
pp. 670-673
Keyword(s):