whats is the difference between “k means” and “fuzzy c means” objective functions?
BTW, the Fuzzy-C-Means (FCM) clustering algorithm is also known as Soft K-Means. The objective functions are virtually identical, the only difference being the introduction of a vector which expresses the percentage of belonging of a given point to each of the clusters. This vector is submitted to a “stiffness” exponent aimed at giving more importance … Read more