An Implementation of Integer Programming Techniques in Clustering Algorithm
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 1
Abstract
This paper mainly deals with the analysis of IPP in clustering. Clustering is exemplified by the unsupervised learning of patterns and clusters that may exist in a given database and is a useful tool for Knowledge Discovery in Database (KDD). A mathematical programming formulation of this problem is proposed that is theoretically justifiable and computationally implementable in a finite number of steps. The clustering algorithm applies the hierarchical clustering methodology [1] where points or clusters with the shortest distance are merged into a cluster until the desired number of clusters is achieved. Numerical examples are given for the above algorithmic approach.
Authors and Affiliations
S. Shenbaga Ezhil , Dr. C. Vijayalakshmi
Keywords
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