Applying Fuzzy Statistics and Clustering Analysis to Construct a Document Multi-Classification Model

Abstract:

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Document classification is the procedure that a document is assigned into one of the predefined categories according to its content. In many cases, the content of a document may be involved in more than one issue; therefore it is reasonable to assign a document to more than one category. This kind of categorizing procedure is called multi-classification. Most of the document classification models have been designed for dealing with single-classification cases, therefore, a document multi-classification model is proposed. In this paper, the concept of fuzzy statistics analysis is used with clustering analysis to carry out the document multi-classification task. The results of experiment show that the performance of our multi-classification model is better.

Info:

Periodical:

Edited by:

Ran Chen

Pages:

3370-3373

DOI:

10.4028/www.scientific.net/AMM.44-47.3370

Citation:

Y. H. Lin and H. E. Chueh, "Applying Fuzzy Statistics and Clustering Analysis to Construct a Document Multi-Classification Model", Applied Mechanics and Materials, Vols. 44-47, pp. 3370-3373, 2011

Online since:

December 2010

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$35.00

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