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Volumn 1, Issue , 2004, Pages 17-22

A time-based self-organising model for document clustering

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; FUNCTIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

EID: 10944223455     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (17)
  • 2
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    • Data mining for hypertext: A tutorial survey
    • S. Chakrabarti, "Data mining for hypertext: a tutorial survey," ACM SICKDD Explorations, vol. 1, no. 2, 2000, pp. 1-11.
    • (2000) ACM SICKDD Explorations , vol.1 , Issue.2 , pp. 1-11
    • Chakrabarti, S.1
  • 3
    • 85135470835 scopus 로고
    • A growing neural gas network leams topologies
    • G. Tesauro, Touretzky, D.S. and Leen, T.K. eds., MIT Press, Cambridge MA
    • B. Fritzke, "A growing neural gas network leams topologies," Advances in Neural Information Processing Systems 7, G. Tesauro, Touretzky, D.S. and Leen, T.K. eds., MIT Press, Cambridge MA, 1995, pp. 625-632.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 5
    • 0028748949 scopus 로고
    • Growing cell structures - A self-organizing network for unsupervised and supervised learning
    • B. Fritzke, "Growing cell structures - a self-organizing network for unsupervised and supervised learning," Neural Networks, vol. 7, no. 9, 1994, pp. 1441-1460.
    • (1994) Neural Networks , vol.7 , Issue.9 , pp. 1441-1460
    • Fritzke, B.1
  • 11
    • 0036789790 scopus 로고    scopus 로고
    • A self-organising network that grows when required
    • S. Marsland, J. Shapiro, and U. Nehmzow, "A self-organising network that grows when required," Neural Networks, vol. 15, 2002, pp. 1041-1058.
    • (2002) Neural Networks , vol.15 , pp. 1041-1058
    • Marsland, S.1    Shapiro, J.2    Nehmzow, U.3
  • 14
    • 0036859375 scopus 로고    scopus 로고
    • The growing hierarchical self-organizing maps: Exploratory analysis of high-dimensional data
    • A. Rauber, D. Merkl, and M. Dittenbach, "The growing hierarchical self-organizing maps: exploratory analysis of high-dimensional data," IEEE Transactions on Neural Networks, vol. 13, no. 6, 2002, pp. 1331-1341.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.6 , pp. 1331-1341
    • Rauber, A.1    Merkl, D.2    Dittenbach, M.3
  • 16
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley, "Term-weighting approaches in automatic text retrieval," Information Processing & Management, vol. 24, no. 5, 1988, pp. 513-523.
    • (1988) Information Processing & Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 17
    • 0043217278 scopus 로고
    • Clustering learning tasks and the selective cross-task transfer of knowledge
    • Carnegie Mellon University, School of Computer Science, Pittsburgh
    • S. Thrun and J. O'Sullivan, "Clustering learning tasks and the selective cross-task transfer of knowledge," Technical Report CMU-CS-95-209, Carnegie Mellon University, School of Computer Science, Pittsburgh, 1995.
    • (1995) Technical Report , vol.CMU-CS-95-209
    • Thrun, S.1    O'Sullivan, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.