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Efficient Clustering Methods and Statistical Approaches for Gene Expression Data


K. Sathishkumar, Dr. Balamurugan, Dr. Akpojaro Jackson and Dr.M. Ramalingam
Abstract

In this work, a quality grouping strategies have been proposed to improve the seeking and the bunching execution in genomic information. Right off the bat, the high dimensionality of the microarray quality information is diminished utilizing an enhanced LPP strategy known as Scatter Difference Discriminant Locality Preserving Projection (SDDLPP). The SDDLPP is picked for the dimensionality decrease in view of its capacity of saving region of neighbourhood relationship. Besides, through execution probes genuine informational indexes, the proposed strategy Fuzzy Possibility C-Means Algorithm utilizing Expectation Maximization Algorithm (EMFPCM) is appeared to accomplish higher effectiveness, bunching quality and computerization than other grouping technique.

Volume 11 | 11-Special Issue

Pages: 440-447

DOI: 10.5373/JARDCS/V11SP11/20193052