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Keyword: Density Immunity
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5 Pages, 892 KB Download PDF

An Enhanced Fuzzy Clustering with Cluster Density Immunity

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 4, Page # 239–243, 2019; DOI: 10.25046/aj040429
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…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))

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