K- Means Algorithm with Different Measurements in Clustering Approach

Provided by: International Journal of Engineering and Advanced Technology (IJEAT)
Topic: Data Management
Format: PDF
Clustering techniques have been used by many intelligent software agents in order tretrieve, filter and categorize document available on the World Wide Web. Clustering is also useful in extracting salient features of related web documents to automatic ally formulate queries and search for other similar documents on the web. In this paper, the authors introduce two new clustering algorithms with K-Means clustering in GeneLinker that can effectively cluster documents, even in the presence of a very high dimensional feature space.

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