Article
Application of fuzzy c-means clustering in data analysis of metabolomics.
Analytical chemistry - 1 Jun 2009
Li Xiang, Lu Xin, Tian Jing, Gao Peng, Kong Hongwei, Xu Guowang
Abstract excerpt
Fuzzy c-means (FCM) clustering is an unsupervised method derived from fuzzy logic that is suitable for solving multiclass and ambiguous clustering problems. In this study, FCM clustering is applied to cluster metabolomics data. FCM is performed directly on the data matrix to generate a membership matrix which represents the degree of association the samples have with each cluster. The method is parametrized with...
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