IM-c-means: a new clustering algorithm for clusters with skewed distributions

• Published in: Pattern analysis and applications : PAA Vol. 24; no. 2; pp. 611 - 623
• Main Authors: Liu, Yun, Hou, Tao, Miao, Yan, Liu, Meihe, Liu, Fu
• Format: Journal Article
• Language: English
• Published: London Springer London 01.05.2021; Springer Nature B.V
• Subjects: Algorithms; Clustering; Computer Science; Datasets; Pattern Recognition; Skewed distributions; Theoretical Advances; Cluster size; Cluster density; Clustering; Imbalanced data set; C-means

In this paper, a new clustering algorithm, IM-c-means, is proposed for clusters with skewed distributions. C-means algorithm is a well-known and widely used strategy for data clustering, but at the same time prone to poor performance if the data set is not distributed uniformly, which is called “uni...