Method for Determining Optimum Number of Clusters for Clustering Gene Expression Cancer Dataset

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P. Prabhu


Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed in the literature. Most of the partition based algorithms like k-means and k-medoids depend on the number of clusters as input parameter. This paper introduced method for determining the optimum number of clusters in a partition simply by examining various cluster validity measures for different values of numbers of clusters.



Keywords: Clustering, gene expression, external indexes, internal indexes


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