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Author/Affiliation: Hun ChoiOpen AccessArticle
5 Pages, 892 KB 
An Enhanced Fuzzy Clustering with Cluster Density Immunity
Abstract:
Clustering is one of the well-known unsupervised learning methods that groups data into homogeneous clusters, and has been successfully used in various applications. Fuzzy C-Means(FCM) is one of the representative methods in fuzzy clustering. In FCM, however, cluster centers tend leaning to high density area because the sum of Euclidean distances in FCM forces high…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))