e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Dimensionality Reduction for Optimal Clustering In Data Mining
Authors : Ch. Raja Ramesh, DVManjula, Dr. G. Jena, Dr C V Sastry
Keywords : Sigmoid, polynomial, kernels, Support Vector Machine and leader’s algorithm.
Issue Date : October 2011
Abstract :
Spectral clustering and Leader’s algorithm have both been used to identify clusters that are nonlinearly separable in input space. Despite significant research, these methods have remained only loosely related. Sigmoid kernel and polynomial kernel were quite popular for support vector machines due to its origin from clustering. In this paper we are submitting the comparison of above kernel methods after reducing the dimensions using feature functions. For this we have given hand writing data -sets to create and compare the clusters.
Page(s) : 3355-3358
ISSN : 0975–3397
Source : Vol. 3, Issue.10

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