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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 3370-3373
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.3370
• Online since: December 2010
• Authors: Yo Hsien Lin, Hao En Chueh
• Keywords: Clustering Analysis (CA), Document Classification, Fuzzy Statistics, Multi-Classification Model

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