In this paper we study the use of a semi-supervised agglomerative hierarchical clustering Ε½ . ssAHC algorithm to text categorization, which consists of assigning text documents to Ε½ . Ε½ . predefined categories. ssAHC is i a clustering algorithm that ii uses a finite design set Ε½ . Ε½ . of labeled dat
Non-negative matrix factorization for semi-supervised data clustering
β Scribed by Yanhua Chen; Manjeet Rege; Ming Dong; Jing Hua
- Publisher
- Springer-Verlag
- Year
- 2008
- Tongue
- English
- Weight
- 783 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0219-1377
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