메뉴 건너뛰기




Volumn 772, Issue , 2011, Pages 55-66

Evaluation of multiple clustering solutions

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; RESEARCH;

EID: 84891093780     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (26)
  • 2
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher, R.A.: The use of multiple measurements in taxonomic problems. Annals of Eugenics 7 (1936) 179-188
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 5
    • 1542399989 scopus 로고    scopus 로고
    • FatiGO: A web tool for finding significant associations of gene ontology terms with groups of genes
    • Al-Shahrour, F., Diaz-Uriarte, R., Dopazo, J.: FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics 20(4) (2004) 578-580
    • (2004) Bioinformatics , vol.20 , Issue.4 , pp. 578-580
    • Al-Shahrour, F.1    Diaz-Uriarte, R.2    Dopazo, J.3
  • 6
    • 33749428430 scopus 로고    scopus 로고
    • Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes
    • Datta, S., Datta, S.: Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes. BMC Bioinformatics 7(397) (2006)
    • (2006) BMC Bioinformatics , vol.7 , pp. 397
    • Datta, S.1    Datta, S.2
  • 7
    • 0348143190 scopus 로고    scopus 로고
    • Scoring clustering solutions by their biological relevance
    • Gat-Viks, I., Sharan, R., Shamir, R.: Scoring clustering solutions by their biological relevance. Bioinformatics 19(18) (2003) 2381-2389
    • (2003) Bioinformatics , vol.19 , Issue.18 , pp. 2381-2389
    • Gat-Viks, I.1    Sharan, R.2    Shamir, R.3
  • 8
    • 0036798238 scopus 로고    scopus 로고
    • Judging the quality of gene expression-based clustering methods using gene annotation
    • Gibbons, F.D., Roth, F.P.: Judging the quality of gene expression-based clustering methods using gene annotation. Genome Res. 12 (2002) 1574-1581
    • (2002) Genome Res. , vol.12 , pp. 1574-1581
    • Gibbons, F.D.1    Roth, F.P.2
  • 9
    • 1342330530 scopus 로고    scopus 로고
    • A graph-theoretic modeling on GO space for biological interpretation of gene clusters
    • Lee, S.G., Hur, J.U., Kim, Y.S.: A graph-theoretic modeling on GO space for biological interpretation of gene clusters. Bioinformatics 20(3) (2004) 381-388
    • (2004) Bioinformatics , vol.20 , Issue.3 , pp. 381-388
    • Lee, S.G.1    Hur, J.U.2    Kim, Y.S.3
  • 13
    • 49749102773 scopus 로고    scopus 로고
    • Non-redundant multi-view clustering via orthogonalization
    • Cui, Y., Fern, X.Z., Dy, J.G.: Non-redundant multi-view clustering via orthogonalization. In: Proc. ICDM. (2007)
    • (2007) Proc. ICDM
    • Cui, Y.1    Fern, X.Z.2    Dy, J.G.3
  • 14
    • 70049108502 scopus 로고    scopus 로고
    • Simultaneous unsupervised learning of disparate clusterings
    • Jain, P., Meka, R., Dhillon, I.S.: Simultaneous unsupervised learning of disparate clusterings. Stat. Anal. Data Min. 1(3) (2008) 195-210
    • (2008) Stat. Anal. Data Min. , vol.1 , Issue.3 , pp. 195-210
    • Jain, P.1    Meka, R.2    Dhillon, I.S.3
  • 15
    • 74549217295 scopus 로고    scopus 로고
    • Detection of orthogonal concepts in subspaces of high dimensional data
    • Günnemann, S., Müller, E., Färber, I., Seidl, T.: Detection of orthogonal concepts in subspaces of high dimensional data. In: Proc. CIKM. (2009)
    • (2009) Proc. CIKM
    • Günnemann, S.1    Müller, E.2    Färber, I.3    Seidl, T.4
  • 16
    • 70350663111 scopus 로고    scopus 로고
    • A principled and flexible framework for finding alternative clusterings
    • Qi, Z.J., Davidson, I.: A principled and flexible framework for finding alternative clusterings. In: Proc. KDD. (2009)
    • (2009) Proc. KDD
    • Qi, Z.J.1    Davidson, I.2
  • 17
    • 84873124076 scopus 로고    scopus 로고
    • Generation of alternative clusterings using the CAMI approach
    • Dang, X.H., Bailey, J.: Generation of alternative clusterings using the CAMI approach. In: Proc. SDM. (2010)
    • (2010) Proc. SDM
    • Dang, X.H.1    Bailey, J.2
  • 19
    • 67149084291 scopus 로고    scopus 로고
    • Clustering high dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
    • Kriegel, H.P., Kröger, P., Zimek, A.: Clustering high dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM TKDD 3(1) (2009) 1-58
    • (2009) ACM TKDD , vol.3 , Issue.1 , pp. 1-58
    • Kriegel, H.P.1    Kröger, P.2    Zimek, A.3
  • 20
    • 85130734369 scopus 로고    scopus 로고
    • Knowledge discovery and data mining: Towards a unifying framework
    • Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: Knowledge discovery and data mining: Towards a unifying framework. In: Proc. KDD. (1996)
    • (1996) Proc. KDD
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 21
    • 67349143735 scopus 로고    scopus 로고
    • Characterization and evaluation of similarity measures for pairs of clusterings
    • Pfitzner, D., Leibbrandt, R., Powers, D.: Characterization and evaluation of similarity measures for pairs of clusterings. KAIS 19(3) (2009) 361-394
    • (2009) KAIS , vol.19 , Issue.3 , pp. 361-394
    • Pfitzner, D.1    Leibbrandt, R.2    Powers, D.3
  • 24
    • 0025447750 scopus 로고
    • The R-Tree: An efficient and robust access method for points and rectangles
    • Beckmann, N., Kriegel, H.P., Schneider, R., Seeger, B.: The R-Tree: An efficient and robust access method for points and rectangles. In: Proc. SIGMOD. (1990)
    • (1990) Proc. SIGMOD
    • Beckmann, N.1    Kriegel, H.P.2    Schneider, R.3    Seeger, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.