Cluster validity for FCM clustering algorithm using uniform data.
Sergio López-García, Luis Magdalena, Juan R. Velasco · European Society for Fuzzy Logic and Technology Conference · 1999
One of the main drawbacks of the FCM clustering algorithm is that it does not calculate the suitable number of clusters. This paper presents a method to solve this problem, by means of an equalization function (using uniform data) for the FCM functional J. The results for 2 and 3 dimensional data tests are also presented.