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Source
Biometrics and Bioinformatics, Vol 8, No 8 (2016), Pagination: 222-225
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.