A Similarity Rough Set Model for Document Representation and Document Clustering

[1]  Daniel Vanderpooten,et al.  A Generalized Definition of Rough Approximations Based on Similarity , 2000, IEEE Trans. Knowl. Data Eng..

[2]  Inderjit S. Dhillon,et al.  Concept Decompositions for Large Sparse Text Data Using Clustering , 2004, Machine Learning.

[3]  Tu Bao Ho,et al.  Nonhierarchical document clustering based on a tolerance rough set model , 2002, Int. J. Intell. Syst..

[4]  Salvatore Greco,et al.  Fuzzy Similarity Relation as a Basis for Rough Approximations , 1998, Rough Sets and Current Trends in Computing.

[5]  Soon Myoung Chung,et al.  Text document clustering based on frequent word meaning sequences , 2008, Data Knowl. Eng..

[6]  Qingcai Chen,et al.  A Tolerance Rough Set Based Semantic Clustering Method for Web Search Results , 2009 .

[7]  George Karypis,et al.  Hierarchical Clustering Algorithms for Document Datasets , 2005, Data Mining and Knowledge Discovery.

[8]  R. Mooney,et al.  Impact of Similarity Measures on Web-page Clustering , 2000 .

[9]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[10]  Alexis Tsoukiàs,et al.  Incomplete Information Tables and Rough Classification , 2001, Comput. Intell..

[11]  Tsau Young Lin,et al.  A Review of Rough Set Models , 1997 .

[12]  George Karypis,et al.  A Comparison of Document Clustering Techniques , 2000 .

[13]  Tu Bao Ho,et al.  Information Retrieval Using Rough Sets , 1998 .

[14]  R. Luce Semiorders and a Theory of Utility Discrimination , 1956 .