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Volumn 3721 LNAI, Issue , 2005, Pages 486-494

Producing accurate interpretable clusters from high-dimensional data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; STATISTICAL METHODS; TEXT PROCESSING; WORD PROCESSING;

EID: 33646417616     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564126_49     Document Type: Conference Paper
Times cited : (50)

References (9)
  • 1
    • 33646425759 scopus 로고    scopus 로고
    • Producing accurate interpretable clusters from highdimensional data
    • Trinity College Dublin
    • Greene, D., Cunningham, P.: Producing accurate interpretable clusters from highdimensional data. Technical Report CS-2005-42, Trinity College Dublin (2005)
    • (2005) Technical Report , vol.CS-2005-42
    • Greene, D.1    Cunningham, P.2
  • 4
    • 0035789644 scopus 로고    scopus 로고
    • Co-clustering documents and words using bipartite spectral graph partitioning
    • Dhillon, I.S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: Knowledge Discovery and Data Mining. (2001) 269-274
    • (2001) Knowledge Discovery and Data Mining , pp. 269-274
    • Dhillon, I.S.1
  • 5
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401 (1999) 788-91
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 6
    • 1542347778 scopus 로고    scopus 로고
    • Document clustering based on non-negative matrix factorization
    • Xu, W., Liu, X., Gong, Y.: Document clustering based on non-negative matrix factorization. In: Proc. 26th Int. ACM SIGIR. (2003) 267-273
    • (2003) Proc. 26th Int. ACM SIGIR , pp. 267-273
    • Xu, W.1    Liu, X.2    Gong, Y.3
  • 7
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • Dhillon, I.S., Modha, D.S.: Concept decompositions for large sparse text data using clustering. Machine Learning 42 (2001) 143-175
    • (2001) Machine Learning , vol.42 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 8
    • 18744378018 scopus 로고    scopus 로고
    • Soft clustering criterion functions for partitional document clustering: A summary of results
    • Zhao, Y., Karypis, G.: Soft clustering criterion functions for partitional document clustering: a summary of results. In: Proc. 13th ACM Conf. on Information and Knowledge Management. (2004) 246-247
    • (2004) Proc. 13th ACM Conf. on Information and Knowledge Management , pp. 246-247
    • Zhao, Y.1    Karypis, G.2
  • 9
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Strehl, A., Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining multiple partitions. JMLR 3 (2002) 583-617
    • (2002) JMLR , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.