Clustering Toolbox: four categories of functions The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions: - Clustering algorithms. These functions group the given data set into clusters by different approaches: functions Kmeans and Kmedoid are hard partitioning methods, FCMclust, GKclust, GGclust are fuzzy partitioning methods with different distance norms.