Abstract: This paper discusses a density based clustering approach for a guided kernel based clustering algorithm, named MK-means (Modified K-means). Our idea is to improve the guided K-Means clustering algorithm and discuss the benefits of using MK-Means algorithm for clustering algorithm in astrophysics data bases. The improvements made allow handling clustering without apriori knowledge and also include the flexibility of merging classes when similarities are detected.
Publication Year: 2010
Publication Date: 2010-07-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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