Cluster Detection Using GA-KNN Conjunction Approach

This paper provides insights into data mining solution for mining customer's information from customer opt-in database of mCRM. The basis of approach is to use a K nearest neighbor algorithm to learn how to classify samples within different clusters of interest. Therefore a new approach using Genetic Algorithm is followed in this paper to overcome some of the shortcomings of the K nearest neighbor algorithm, by allowing the system to learn to warp the n-dimensional feature space so as to maximize the clustering of individuals within a class, and at the same time maximize the separation between classes.

Provided by: Journal of Global Research in Computer Science (JGRCS) Topic: Data Management Date Added: May 2012 Format: PDF

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