Supervised term weighting centroid-based classifiers for text categorization

In this paper, we study the theoretical properties of the class feature centroid (CFC) classifier by considering the rate of change of each prototype vector with respect to individual dimensions (terms). We show that CFC is inherently biased toward the larger (dominant majority) classes, which invar...

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Veröffentlicht in:	Knowledge and information systems 2013-04, Vol.35 (1), p.61-85
Hauptverfasser:	Nguyen, Tam T., Chang, Kuiyu, Hui, Siu Cheung
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Centroids Chlorofluorocarbons Classification Classifiers Computer Science Computer science control theory systems Data Mining and Knowledge Discovery Data processing. List processing. Character string processing Database Management Datasets Divergence Documents Exact sciences and technology Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Memory organisation. Data processing Regular Paper Software Speech and sound recognition and synthesis. Linguistics Studies Support vector machines Text categorization Texts Vector space Visualization Weighting
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