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Volumn , Issue , 2008, Pages 257-266

Extension of partitional clustering methods for handling mixed data

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; INFORMATION MANAGEMENT; TECHNICAL PRESENTATIONS;

EID: 62449232284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2008.85     Document Type: Conference Paper
Times cited : (5)

References (15)
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    • A k-mean clustering algorithm for mixed numeric and categorical data
    • A. Ahmed and D. Lipika. A k-mean clustering algorithm for mixed numeric and categorical data. Data and Knowledge Engineering, 63(2):503-527, 2007.
    • (2007) Data and Knowledge Engineering , vol.63 , Issue.2 , pp. 503-527
    • Ahmed, A.1    Lipika, D.2
  • 2
    • 34447501949 scopus 로고    scopus 로고
    • Hierarchical clustering of mixed data based on distance hierarchy
    • H. Chung-Chian, C. Chin-Long, and S. Yu-Wei. Hierarchical clustering of mixed data based on distance hierarchy. Information Sciences, 177(20):4474-4492, 2007.
    • (2007) Information Sciences , vol.177 , Issue.20 , pp. 4474-4492
    • Chung-Chian, H.1    Chin-Long, C.2    Yu-Wei, S.3
  • 6
    • 27844433509 scopus 로고    scopus 로고
    • Scalable algorithms for clustering mixed type attributes in large datasets
    • Z. He, X. Xu, and S. Deng. Scalable algorithms for clustering mixed type attributes in large datasets. International Journal of Intelligent Systems, 20(10):1077-1089, 2005.
    • (2005) International Journal of Intelligent Systems , vol.20 , Issue.10 , pp. 1077-1089
    • He, Z.1    Xu, X.2    Deng, S.3
  • 8
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Z. Huang. Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery, 2(3):283-304, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 12
    • 62449114337 scopus 로고    scopus 로고
    • J. Mcqueen. some methods for classification and analysis of multivariate observations. In 5th Berkeley Symp. on Math. Statistics and Probability, pages 281-298, Berkley, CA: University of California Press, 1967.
    • J. Mcqueen. some methods for classification and analysis of multivariate observations. In 5th Berkeley Symp. on Math. Statistics and Probability, pages 281-298, Berkley, CA: University of California Press, 1967.
  • 13
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Santiago, Chile, September
    • R.-T. Ng and J. Han. Efficient and effective clustering methods for spatial data mining. In 20th Int. Conf. on Very Large Data Bases (VLDB), pages 144-155, Santiago, Chile, September 1994.
    • (1994) 20th Int. Conf. on Very Large Data Bases (VLDB) , pp. 144-155
    • Ng, R.-T.1    Han, J.2
  • 14
    • 0029415780 scopus 로고
    • A conceptual version of the k-means algorithm
    • H. Ralambondrainy. A conceptual version of the k-means algorithm. Pattern Recognition Letters, 16(11):1147-1157, 1995.
    • (1995) Pattern Recognition Letters , vol.16 , Issue.11 , pp. 1147-1157
    • Ralambondrainy, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.