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Two-dimensional contingency tables or co-occurrence matrices arise frequently in various important applications such as text analysis and web-log mining. As a fundamental research topic, co-clustering aims to generate a meaningful partition of the contingency table to reveal hidden relationships between rows and columns. Traditional co-clustering algorithms usually produce a predefined number of flat...
Feature selection is an important application in the field of Chinese text categorization. However, the traditional Chinese feature selection methods are based on conditional independence assumption; therefore there are many redundancies in feature subsets. In this paper a combined feature selection method of Chinese text is proposed and this method is designed by the regularized mutual information...
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