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Document clustering is a subset of the data clustering field which categorizes large set of documents into similar and related groups. In the traditional vector space model (VSM) researchers have considered the unique word which occurs in the document set as the candidate feature. Recently a new trend which considered the phrase to be a more informative feature has taken place; the matter which contributes...
This paper proposes a self-organized genetic algorithm for document clustering based on semantic similarity measure. The traditional method to represent text is that the document is organized as a string of words, while the conceptual similarity is ignored. We take advantage of thesaurus-based ontology to overcome this problem. To investigate how ontology method could be used effectively in document...
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