Automatically Finding Good Clusters with Seed K-Means

Abstract

In finding biologically relevant groups of genes with gene expression data obtained by microarray technologies, the k-means clustering method is one of the most popular approaches due to its easiness to use and simplicity to implement. However, the randomness of k-means clustering method in choosing initial points to start with makes it impossible to obtain… (More)

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