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Volumn 3808 LNCS, Issue , 2005, Pages 304-313

An extension of self-organizing maps to categorical data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; NUMERICAL METHODS; STANDARDS;

EID: 33744793737     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11595014_31     Document Type: Conference Paper
Times cited : (14)

References (21)
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    • On use of self-organizing maps for clustering and visualization
    • J.M. Zytkow and J. Rauch (eds.), Principles of Data Mining and Knowledge Discovery, Proceedings of the 3rd European Conference (PKDD'99), Prague, Czech Republic, Springer
    • Arthur Flexer: On use of self-organizing maps for clustering and visualization. In J.M. Zytkow and J. Rauch (eds.), Principles of Data Mining and Knowledge Discovery, Proceedings of the 3rd European Conference (PKDD'99), Prague, Czech Republic, Lecture Notes in Artificial Intelligence 1704, Springer (1999) 80-88
    • (1999) Lecture Notes in Artificial Intelligence , vol.1704 , pp. 80-88
    • Flexer, A.1
  • 5
    • 0034228041 scopus 로고    scopus 로고
    • ROCK: A robust clustering algorithm for categorical attributes
    • Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: ROCK: a robust clustering algorithm for categorical attributes. Information Systems 25(5) (2000) 345-366
    • (2000) Information Systems , vol.25 , Issue.5 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 6
    • 0002568152 scopus 로고    scopus 로고
    • Clustering large data sets with mixed numeric and categorical values
    • Lu Hongjun, Motoda Hiroshi, Liu Huan (eds). Singapore, World Scientific
    • Zhexue Huang: Clustering large data sets with mixed numeric and categorical values. In Lu Hongjun, Motoda Hiroshi, Liu Huan (eds), Proceedings of the 1st Pacific-Asia Conference on Knowledge Discovery & Data Mining. Singapore, World Scientific (1997) 21-34
    • (1997) Proceedings of the 1st Pacific-Asia Conference on Knowledge Discovery & Data Mining , pp. 21-34
    • Huang, Z.1
  • 7
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithms for clustering large data sets with categorical values
    • Zhexue Huang: Extensions to the k-means algorithms for clustering large data sets with categorical values. Data Mining and Knowledge Discovery 2 (1998) 283-304
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 283-304
    • Huang, Z.1
  • 9
    • 0003410791 scopus 로고    scopus 로고
    • Springer Verlag, Berlin, Second edition
    • Teuvo Kohonen: Self-organizing maps. Springer Verlag, Berlin, Second edition (1997)
    • (1997) Self-organizing Maps
    • Kohonen, T.1
  • 12
    • 76349089530 scopus 로고    scopus 로고
    • Binary-based similarity measures for categorical data and their application in self-organizing maps
    • April 1-3, Lisbon
    • Fernando Lourenco, Victor Lobo, Fernando Bacao: Binary-based similarity measures for categorical data and their application in self-organizing maps. JOCLAD 2004 - XI Jornadas de Classificacao e Anlise de Dados, April 1-3, Lisbon (2004)
    • (2004) JOCLAD 2004 - XI Jornadas de Classificacao e Anlise de Dados
    • Lourenco, F.1    Lobo, V.2    Bacao, F.3
  • 13
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science UCI Machine Learning Repository
    • Catherine L. Blake, Chris J. Merz: UCI Repository of machine learning databases. University of California, Department of Information and Computer Science UCI Machine Learning Repository (1998)
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 14
    • 33744810363 scopus 로고    scopus 로고
    • Classification and analysis in supervised mixture-modelling
    • Robert Munro: Classification and analysis in supervised mixture-modelling. University of Sydney, technical report 536
    • University of Sydney, Technical Report , vol.536
    • Munro, R.1
  • 15
    • 0346325844 scopus 로고    scopus 로고
    • Border detection on remote sensing satellite data using self-organizing maps
    • 4th International Workshop on Extraction of Knowledge from Databases (EKDB'03), Fernando Moura Pires, Salvador Abreu (eds.), Springer, Beja, Portugal
    • Nuno Marques and Ning Chen.Border Detection on Remote Sensing Satellite Data Using Self-Organizing Maps. EPIA'03-11th Portuguese Conference on Artificial Intelligence, 4th International Workshop on Extraction of Knowledge from Databases (EKDB'03), Fernando Moura Pires, Salvador Abreu (eds.), Springer, Beja, Portugal (2003) 294-307
    • (2003) EPIA'03-11th Portuguese Conference on Artificial Intelligence , pp. 294-307
    • Marques, N.1    Chen, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.