Document clustering using the LSI subspace signature model

Author:

Zhu W.Z.1,Allen R.B.1

Affiliation:

1. College of Information Science and Technology; Drexel University; 3141 Chestnut Street; Philadelphia; PA; 19104-2875

Publisher

Wiley

Subject

Artificial Intelligence,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Software

Reference38 articles.

1. LSISOM \x97 A latent semantic indexing approach to self-organizing maps of document collections;Ampazis;Neural Processing Letters,2004

2. Arthur , D. Vassilvitskii , S. 2007 K-means ++: The advantages of careful seeding 1027 1035 New York ACM Press

3. Beil , F. Ester , M. Xu , X. 2002 Frequent term-based text clustering 436 442 New York ACM Press

4. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

5. Document clustering using locality preserving indexing;Cai;IEEE Transactions on Knowledge and Data Engineering,2005

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1. Clustering for Post Hoc Information Retrieval;Encyclopedia of Database Systems;2018

2. A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network;Mathematical Problems in Engineering;2017

3. Clustering for Post Hoc Information Retrieval;Encyclopedia of Database Systems;2017

4. An improved ant algorithm with LDA-based representation for text document clustering;Journal of Information Science;2016-03-01

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