A Novel Approach for Text Clustering Using Must Link and Cannot Link Algorithm

Provided by: Journal of Theoretical and Applied Information Technology
Topic: Data Management
Format: PDF
Text clustering is used to group documents with high levels of similarity. It has found applications in different areas of text mining and information retrieval. The digital data available nowadays has grown in huge volume and retrieving useful information from that is a big challenge. Text clustering has found an important application to organize the data and to extract useful information from the available corpus. In this paper, the authors have proposed a novel method for clustering the text documents. In the first phase features are selected using a genetic based method.

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