systematic and comparative study on gene micro array using fuzzy logic applications
G.Gunasekaran,R.Rajeswari
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:3 Issue:1 Year: 26 June,2014 Pages:283-297
Abstract
Gene expression data is one of the most important areas that have emerged in the field of bioscience and medicine. There is a vast amount of data related with the gene expressions. The approach used for mining of the gene expression data is K-means clustering method while performing the retrievals and the computations parallel, thereby decreasing both the processing time and performing mining efficiently. The paper aims at solving the problem from the field of bioscience in the Engineering perspective.
Kewords
DATA MINING, Subspace clustering
Reference
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