- Title
- Utilizing Different Link Types to Enhance Document Clustering Based on Markov Random Field Model With Relaxation Labeling
- Creators
- Xiaodan Zhang - Drexel UniversityXiaohua Hu - Drexel UniversityTingting Hu - Central China Normal UniversityE. K. Park - California State University, ChicoXiaohua Zhou - Drexel University
- Publication Details
- IEEE transactions on systems, man and cybernetics. Part A, Systems and humans, v 42(5), pp 1167-1182
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000307893300011
- Scopus ID
- 2-s2.0-84865433806
- Other Identifier
- 991019167680404721
Journal article
Utilizing Different Link Types to Enhance Document Clustering Based on Markov Random Field Model With Relaxation Labeling
IEEE transactions on systems, man and cybernetics. Part A, Systems and humans, v 42(5), pp 1167-1182
Sep 2012
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Theory & Methods