Document clustering with prior knowledge

Document clustering with prior knowledge

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Date added: 22.03.2015
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Constrained-PLSA; Semi-supervised Clustering; Document Clustering; . The prior knowledge indicates pairs of documents that known to belong to the.

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Machine Learning and Knowledge Discovery in Databases However, document co-clustering without any prior knowledge or background information is a Experiments Using Prior Knowledge We denote our method utilizing prior Four classical document clustering methods: K-means, Information-TheoreticABSTRACT Document clustering is an important tool for text analysis and is used in many different applications. We propose to incorporate prior knowledge of Document clustering is an important tool for text analysis and is used in many different applications. We propose to incorporate prior knowledge of cluster

In this paper, we present a document clustering framework in- corporating these prior knowledge to assist unsupervised document clustering, becoming a Document clustering without any prior knowledge or background information is a challenging problem. In this paper, we propose SS-NMF: a semi-supervised Aug 6, 2006 - Document clustering with prior knowledge, Published by ACM 2006 Article. Bibliometrics Data Bibliometrics. · Downloads (6 Weeks): 7?Abstract -?Authors -?References -?Cited ByDocument Clustering with Prior Knowledge - ACM Digital dl.acm.org/ft_gateway.cfm?id=1148241Similarby X Ji - ?2006 - ?Cited by 118 - ?Related articlesAug 11, 2006 - Document Clustering with Prior Knowledge. Xiang Ji. ?. Yahoo! Inc. 701 First Avenue. Sunnyvale, CA 94089, U.S.A. xiangji@yahoo-inc.com. 6 Conclusions In this paper, we have presented a document clustering method using the Ji, X., Xu, W., Zhu, S.: Document Clustering with Prior Knowledge.

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