Biometrics and Bioinformatics

Gotam Singh Lalotra , R.S. Thakur

Abstract

The aim of this paper is to explore the behavior of two clustering algorithms the time and accuracy at different population and configurations of k-means and Genetic Algorithm based k- means for Serial Analysis of Gene Expression (SAGE) Data, as the SAGE data is less explored data which is characterized by high dimensions, in this study an analysis is performed for SAGE data clustering.

Keywords

Clustering, Genetic Algorithm, k-Means, SAGE, Dimensions.

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