IKCS: An Effective Intelligent K-Medoids ClusteringScheme Based on Granularity Rough Entropy
k-Medoids Clustering algorithm is one of the most commonly used clustering methods. However, it does not consider the weight of each feature, and the selection of center points is random, which may affect the clustering results. Granularity computing analyzes knowledge from various perspectives, considering the level o...