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Volumn 2005, Issue , 2005, Pages 405-408

A combined K-means and hierarchical clustering method for improving the clustering efficiency of microarray

Author keywords

Clustering; Divisive; Hierarchical; K means

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA REDUCTION; HIERARCHICAL SYSTEMS; TREES (MATHEMATICS);

EID: 33749553846     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (58)

References (14)
  • 1
    • 0012321068 scopus 로고    scopus 로고
    • Binary tree-structured vector quantization approach to clustering and visualizing microarray data
    • Sultan, M., Wigle, D.A., Cumbaa, C. A., Maziarz, M., Glasgow, J., Tsao, M. S. and Jurisica, I., "Binary tree-structured vector quantization approach to clustering and visualizing microarray data," Bioinformatics, Vol.18, Suppl 1, pp. 111-9, (2002).
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL. 1 , pp. 111-119
    • Sultan, M.1    Wigle, D.A.2    Cumbaa, C.A.3    Maziarz, M.4    Glasgow, J.5    Tsao, M.S.6    Jurisica, I.7
  • 2
    • 0035979259 scopus 로고    scopus 로고
    • Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
    • Kerr, M.K., Churchill, G.A., "Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments," Proc Nat! Acad Sci USA, Vol.98, No. 16 pp. 8961-5, (2001).
    • (2001) Proc Nat! Acad Sci USA , vol.98 , Issue.16 , pp. 8961-8965
    • Kerr, M.K.1    Churchill, G.A.2
  • 3
    • 0037342510 scopus 로고    scopus 로고
    • Comparisons and validation of statistical clustering techniques for microarray gene expression data
    • Datta, S. and Datta, S., "Comparisons and validation of statistical clustering techniques for microarray gene expression data," Bioinformatics, Vol.19, No.4, pp. 459-66, (2003).
    • (2003) Bioinformatics , vol.19 , Issue.4 , pp. 459-466
    • Datta, S.1    Datta, S.2
  • 7
    • 0041328214 scopus 로고    scopus 로고
    • K-means: A new generalized k-means clustering algorithm
    • Cheung, Y.M., "K-means: a new generalized k-means clustering algorithm," Pattern Recognition Letters. Vol.24, No.15.pp. 2883-2893, (2003).
    • (2003) Pattern Recognition Letters , vol.24 , Issue.15 , pp. 2883-2893
    • Cheung, Y.M.1
  • 8
    • 12944302085 scopus 로고    scopus 로고
    • Multi-class clustering and prediction in the analysis of microarray data
    • Tsai, C.A., Lee, T.C., Ho, I.C., Yang, U.C., Chen, C.H., Chen. J.J., "Multi-class clustering and prediction in the analysis of microarray data," Mathematical Biosciences, Vol.193, Issue 1, pp. 79-100, (2005).
    • (2005) Mathematical Biosciences , vol.193 , Issue.1 , pp. 79-100
    • Tsai, C.A.1    Lee, T.C.2    Ho, I.C.3    Yang, U.C.4    Chen, C.H.5    Chen, J.J.6
  • 9
    • 0242475337 scopus 로고    scopus 로고
    • Kernel hierarchical gene clustering from microarray expression data
    • Qin, J., Lewis, D.P., Noble, W.S., "Kernel hierarchical gene clustering from microarray expression data," Bioinformatics, Vol. 19, No. 16, pp. 2097-2104. (2003).
    • (2003) Bioinformatics , vol.19 , Issue.16 , pp. 2097-2104
    • Qin, J.1    Lewis, D.P.2    Noble, W.S.3
  • 10
    • 0346216900 scopus 로고    scopus 로고
    • A novel genetic algorithm for automatic clustering
    • Garai, G. and Chaudhuri. B. B., "A novel genetic algorithm for automatic clustering," Pattern Recognition Letters, Vol.25. Issue2, pp. 173-187, (2004).
    • (2004) Pattern Recognition Letters , vol.25 , Issue.ISSUE2 , pp. 173-187
    • Garai, G.1    Chaudhuri, B.B.2
  • 12
    • 14644403631 scopus 로고    scopus 로고
    • An integrated tool for microarray data clustering and cluster validity assessment
    • Bolshakova, N., Azuaje, F., and Cunningham, P., "An integrated tool for microarray data clustering and cluster validity assessment," Bioinformatics, Vol.21, No.4 pp. 451-455, (2005).
    • (2005) Bioinformatics , vol.21 , Issue.4 , pp. 451-455
    • Bolshakova, N.1    Azuaje, F.2    Cunningham, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.