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An Efficient Incremental Clustering Algorithm

Journal: World of Computer Science and Information Technology Journal
ISSN 2221-0741

Volume: 3;
Issue: 5;
Start page: 97;
Date: 2013;
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Keywords: Clustering | Incremental Clustering | K-means | Unsupervised | Partitioning | Data Objects.

Clustering is process of grouping data objects into distinct clusters so that data in the same cluster are similar. The most popular clustering algorithm used is the K-means algorithm, which is a partitioning algorithm. Unsupervised techniques like clustering may be used for fault prediction in software modules.This paper describes the standard k-means algorithm and analyzes the shortcomings of standard k-means algorithm. This paper proposes an incremental clustering algorithm. Experimental results show that the proposed algorithm produces clusters in less computation time.
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Tango Jona
Tangokurs Rapperswil-Jona