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By researching all kinds of methods for document clustering, we put forward a new dynamic method based on genetic algorithm (GA). K-means is a greedy algorithm, which is sensitive to the choice of cluster center and very easily results in local optimization. Genetic algorithm is a global convergence algorithm, which can find the best cluster centers easily. Among the traditional document clustering...
Text document clustering plays an important role in the modern knowledge management. This paper addresses the task of developing an effective and efficient method of clustering the text document. To meet this requirement, we first extract the modifying relations (MR) from the sentences and then organize them as feature set for representing the document. A novel similarity measure is proposed on the...
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