A Survey on Document Clustering with Similarity Measures

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Clustering is one of the most important data mining or text mining algorithm that is used to group similar objects together. It aims to find essential structures in data, and arrange them into meaningful subgroups. The main difference of the novel method from the existing one is that it uses only single view point for clustering and where as in multi-viewpoint based similarity measure uses many different viewpoints. In multi-viewpoint the two objects are measured are assumed to not be in the same cluster.
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