메뉴 건너뛰기




Volumn 39, Issue 12, 2006, Pages 2415-2425

Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data

Author keywords

Data clustering; DNA microarray data analysis; High dimensional data analysis; Similarity based clustering

Indexed keywords

ALGORITHMS; DATA REDUCTION; DNA SEQUENCES; GENETIC ENGINEERING; PATTERN RECOGNITION;

EID: 33748433233     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.06.021     Document Type: Article
Times cited : (11)

References (58)
  • 1
    • 0038206898 scopus 로고    scopus 로고
    • Clustering-based approaches to discovering and visualising microarray data patterns
    • Azuaje F. Clustering-based approaches to discovering and visualising microarray data patterns. Brief. Bioinform. 4 1 (2003) 31-42
    • (2003) Brief. Bioinform. , vol.4 , Issue.1 , pp. 31-42
    • Azuaje, F.1
  • 4
    • 12744279636 scopus 로고    scopus 로고
    • Gene clustering by latent semantic indexing of MEDLINE abstracts
    • Homayouni R., Heinrich K., Wei L., and Berry M.W. Gene clustering by latent semantic indexing of MEDLINE abstracts. Bioinformatics 21 1 (2005) 104-115
    • (2005) Bioinformatics , vol.21 , Issue.1 , pp. 104-115
    • Homayouni, R.1    Heinrich, K.2    Wei, L.3    Berry, M.W.4
  • 5
    • 0032441150 scopus 로고    scopus 로고
    • Cluster analysis and display of genome-wide expression patterns
    • Eisen M.B., Spellman P.T., Brown P.O., and Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc. Nat. Acad. Sci. 95 25 (1998) 14863-14868
    • (1998) Proc. Nat. Acad. Sci. , vol.95 , Issue.25 , pp. 14863-14868
    • Eisen, M.B.1    Spellman, P.T.2    Brown, P.O.3    Botstein, D.4
  • 6
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: a review
    • Jain A., Murty M., and Flynn P. Data clustering: a review. ACM Comput. Sur. 31 3 (1999) 264-323
    • (1999) ACM Comput. Sur. , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.1    Murty, M.2    Flynn, P.3
  • 9
    • 4243128193 scopus 로고    scopus 로고
    • On clusterings: Good, bad and spectral
    • Kannan R., Vempala S., and Vetta A. On clusterings: Good, bad and spectral. J. ACM 51 3 (2004) 497-515
    • (2004) J. ACM , vol.51 , Issue.3 , pp. 497-515
    • Kannan, R.1    Vempala, S.2    Vetta, A.3
  • 10
    • 33645523636 scopus 로고    scopus 로고
    • Spectral clustering of protein sequences
    • Paccanaro A., Casbon J.A., and Saqi M.A.S. Spectral clustering of protein sequences. Nucl. Acids Res. 34 5 (2006) 1571-1580
    • (2006) Nucl. Acids Res. , vol.34 , Issue.5 , pp. 1571-1580
    • Paccanaro, A.1    Casbon, J.A.2    Saqi, M.A.S.3
  • 11
    • 24344478645 scopus 로고    scopus 로고
    • Data mining for case-based reasoning in high-dimensional biological domains
    • Arshadi N., and Jurisica I. Data mining for case-based reasoning in high-dimensional biological domains. IEEE Trans. Knowl. Data Eng. 17 8 (2005) 1127-1137
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , Issue.8 , pp. 1127-1137
    • Arshadi, N.1    Jurisica, I.2
  • 12
    • 0242475337 scopus 로고    scopus 로고
    • Kernel hierarchical gene clustering from microarray expression data
    • Qin J., Lewis D.P., and Stafford Noble W. Kernel hierarchical gene clustering from microarray expression data. Bioinformatics 19 16 (2003) 2097-2104
    • (2003) Bioinformatics , vol.19 , Issue.16 , pp. 2097-2104
    • Qin, J.1    Lewis, D.P.2    Stafford Noble, W.3
  • 13
    • 0015680655 scopus 로고
    • Clustering using a similarity measure based on shared near neighbors
    • Jarvis R.A., and Patrick E.A. Clustering using a similarity measure based on shared near neighbors. IEEE Trans. Comput. C22 (1973) 1025-1034
    • (1973) IEEE Trans. Comput. , vol.C22 , pp. 1025-1034
    • Jarvis, R.A.1    Patrick, E.A.2
  • 14
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of inequalities with application in pattern recognition
    • Cover T. Geometrical and statistical properties of inequalities with application in pattern recognition. IEEE Trans. Electron. Comput. 14 (1965) 326-334
    • (1965) IEEE Trans. Electron. Comput. , vol.14 , pp. 326-334
    • Cover, T.1
  • 15
    • 0021518106 scopus 로고
    • A theory of the learnable
    • Valiant L.G. A theory of the learnable. Commun. ACM 27 (1984) 1134-1142
    • (1984) Commun. ACM , vol.27 , pp. 1134-1142
    • Valiant, L.G.1
  • 20
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • Banfield J.D., and Raftery A.E. Model-based Gaussian and non-Gaussian clustering. Biometrics 49 (1993) 803-821
    • (1993) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.D.1    Raftery, A.E.2
  • 23
    • 0000159475 scopus 로고
    • Detection and characterization of cluster substructure II: fuzzy c-varieties and convex combinations thereof
    • Bezdek J.C. Detection and characterization of cluster substructure II: fuzzy c-varieties and convex combinations thereof. SIAM J. Appl. Math. 40 2 (1981) 358-372
    • (1981) SIAM J. Appl. Math. , vol.40 , Issue.2 , pp. 358-372
    • Bezdek, J.C.1
  • 24
    • 0029246295 scopus 로고
    • Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation-part ii
    • Krishnapuram R., Frigui H., and Nasraoui O. Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation-part ii. IEEE Trans. Fuzzy Syst. 3 1 (1995) 44-60
    • (1995) IEEE Trans. Fuzzy Syst. , vol.3 , Issue.1 , pp. 44-60
    • Krishnapuram, R.1    Frigui, H.2    Nasraoui, O.3
  • 25
    • 0025585402 scopus 로고
    • A deterministic annealing approach to clustering
    • Rose K., Gurewitz E., and Fox G. A deterministic annealing approach to clustering. Pattern Recognition Lett. 11 (1990) 589-594
    • (1990) Pattern Recognition Lett. , vol.11 , pp. 589-594
    • Rose, K.1    Gurewitz, E.2    Fox, G.3
  • 26
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Cam L.L., and Neyman J. (Eds), University of California
    • MacQueen J. Some methods for classification and analysis of multivariate observations. In: Cam L.L., and Neyman J. (Eds). Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability vol. I (1967), University of California 281-297
    • (1967) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , vol.I , pp. 281-297
    • MacQueen, J.1
  • 27
    • 0027632248 scopus 로고
    • 'Neural gas' network for vector quantization and its application to time-series prediction
    • Martinetz T., Berkovich S., and Schulten K. 'Neural gas' network for vector quantization and its application to time-series prediction. IEEE Trans. Neural Networks 4 4 (1993) 558-569
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.1    Berkovich, S.2    Schulten, K.3
  • 29
    • 0036509717 scopus 로고    scopus 로고
    • Redefining clustering for high-dimensional applications
    • Aggarwal C.C., and Yu P.S. Redefining clustering for high-dimensional applications. IEEE Trans. Knowl. Data Eng. 14 2 (2002) 210-225
    • (2002) IEEE Trans. Knowl. Data Eng. , vol.14 , Issue.2 , pp. 210-225
    • Aggarwal, C.C.1    Yu, P.S.2
  • 30
    • 0000825481 scopus 로고
    • A statistical method for evaluating systematic relationships
    • Sokal R.R., and Michener C.D. A statistical method for evaluating systematic relationships. Univ. Kan. Sci. Bull. 38 (1958) 1409-1438
    • (1958) Univ. Kan. Sci. Bull. , vol.38 , pp. 1409-1438
    • Sokal, R.R.1    Michener, C.D.2
  • 31
    • 0014129195 scopus 로고
    • Hierarchical clustering schemes
    • Johnson S.C. Hierarchical clustering schemes. Psychometrika 2 (1967) 241-254
    • (1967) Psychometrika , vol.2 , pp. 241-254
    • Johnson, S.C.1
  • 32
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward J.H. Hierarchical grouping to optimize an objective function. J. Amer. Statist. Assoc. 58 301 (1963) 236-244
    • (1963) J. Amer. Statist. Assoc. , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.H.1
  • 33
    • 0000461280 scopus 로고
    • Confidence limits on phylogenies: an approach using the bootstrap
    • Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39 (1985) 783-791
    • (1985) Evolution , vol.39 , pp. 783-791
    • Felsenstein, J.1
  • 34
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: a resampling-based method for class discovery andvisualization of gene expression microarray data
    • Monti S., Tamayo P., Mesirov J., and Golub T. Consensus clustering: a resampling-based method for class discovery andvisualization of gene expression microarray data. Mach. Learn. 52 1-2 (2003) 91-118
    • (2003) Mach. Learn. , vol.52 , Issue.1-2 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
  • 38
    • 0041471321 scopus 로고    scopus 로고
    • A new cluster isolation criterion based on dissimilarity increments
    • Fred A.L.N., and Leitao J.M.N. A new cluster isolation criterion based on dissimilarity increments. IEEE Trans. Pattern Anal. Mach. Intell. 25 8 (2003) 944-958
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell. , vol.25 , Issue.8 , pp. 944-958
    • Fred, A.L.N.1    Leitao, J.M.N.2
  • 39
    • 0034710876 scopus 로고    scopus 로고
    • Coupled two-way clustering analysis of gene microarray data
    • Getz G., Levine E., and Domany E. Coupled two-way clustering analysis of gene microarray data. Proc. Nat. Acad. Sci. USA 97 22 (2000) 12079-12084
    • (2000) Proc. Nat. Acad. Sci. USA , vol.97 , Issue.22 , pp. 12079-12084
    • Getz, G.1    Levine, E.2    Domany, E.3
  • 41
    • 0041995203 scopus 로고    scopus 로고
    • A generalized kernel approach to dissimilarity-based classification
    • Pe{ogonek}kalska E., Paclík P., and Duin R.P.W. A generalized kernel approach to dissimilarity-based classification. J. Mach. Learn. Res. 2 (2001) 175-211
    • (2001) J. Mach. Learn. Res. , vol.2 , pp. 175-211
    • Pekalska, E.1    Paclík, P.2    Duin, R.P.W.3
  • 42
    • 0035049111 scopus 로고    scopus 로고
    • On the "dimensionality curse" and the "self-similarity blessing"
    • Korn F., Pagel B.-U., and Faloutsos C. On the "dimensionality curse" and the "self-similarity blessing". IEEE Trans. Knowl. Data Eng. 13 1 (2001) 96-111
    • (2001) IEEE Trans. Knowl. Data Eng. , vol.13 , Issue.1 , pp. 96-111
    • Korn, F.1    Pagel, B.-U.2    Faloutsos, C.3
  • 43
    • 33748435851 scopus 로고    scopus 로고
    • E. Pe{ogonek}kalska, Dissimilarity representations in pattern recognition. Concepts, theory and applications, Ph.D. Thesis, Delft University of Technology, 2005.
  • 44
    • 0000600340 scopus 로고
    • 'General intelligence,' objectively determined and measured
    • Spearman C. 'General intelligence,' objectively determined and measured. Amer. J. Psychol. 15 (1904) 201-293
    • (1904) Amer. J. Psychol. , vol.15 , pp. 201-293
    • Spearman, C.1
  • 46
    • 34248978779 scopus 로고
    • Measures of association for cross-classifications
    • Goodman L.A., and Kruskal W.H. Measures of association for cross-classifications. J. Amer. Statist. Assoc. 49 (1954) 732-764
    • (1954) J. Amer. Statist. Assoc. , vol.49 , pp. 732-764
    • Goodman, L.A.1    Kruskal, W.H.2
  • 47
    • 85004899658 scopus 로고
    • Quadratic assignment as a general data-analysis strategy
    • Hubert L.J., and Schultz J. Quadratic assignment as a general data-analysis strategy. British J. Math. Statist. Psychol. 29 (1976) 190-241
    • (1976) British J. Math. Statist. Psychol. , vol.29 , pp. 190-241
    • Hubert, L.J.1    Schultz, J.2
  • 48
    • 0032732538 scopus 로고    scopus 로고
    • Assessment of cluster homogeneity in fMRI data using Kendall's coefficient of concordance
    • Baumgartner R., Somorjai R., Summers R., and Richter W. Assessment of cluster homogeneity in fMRI data using Kendall's coefficient of concordance. Magn. Reson. Imaging 17 10 (1999) 1525-1532
    • (1999) Magn. Reson. Imaging , vol.17 , Issue.10 , pp. 1525-1532
    • Baumgartner, R.1    Somorjai, R.2    Summers, R.3    Richter, W.4
  • 49
    • 33748427560 scopus 로고    scopus 로고
    • Iterative rank based methods for clustering
    • Kasturi R., Laurendeau D., and Suen C. (Eds), IEEE Computer Society Press, Los Alamitos, USA
    • Perrey S., Brinck H., and Zielesny A. Iterative rank based methods for clustering. In: Kasturi R., Laurendeau D., and Suen C. (Eds). Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB'03) (2003), IEEE Computer Society Press, Los Alamitos, USA 478-479
    • (2003) Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB'03) , pp. 478-479
    • Perrey, S.1    Brinck, H.2    Zielesny, A.3
  • 52
    • 33748412655 scopus 로고    scopus 로고
    • C. Blake, C. Merz, UCI repository of machine learning databases, URL: 〈http://www.ics.uci.edu/∼mlearn/MLRepository.html〉, 1998.
  • 53
    • 85075951328 scopus 로고    scopus 로고
    • W.N. Street, W.H. Wolberg, O.L. Mangasarian, Nuclear feature extraction for breast tumor diagnosis, in: IS&T/SPIE 1993 International Symposium on Electronic Imaging: Science and Technology, vol. 1905, 1993, pp. 861-870.
  • 56
    • 0000175307 scopus 로고
    • Training knowledge-based neural networks to recognize genes in DNA sequences
    • Morgan Kaufmann, Los Altos, CA
    • Noordewier M.O., Towell G.G., and Shavlik J.W. Training knowledge-based neural networks to recognize genes in DNA sequences. Advances in Neural Information Processing Systems III vol. 3 (1991), Morgan Kaufmann, Los Altos, CA 530-536
    • (1991) Advances in Neural Information Processing Systems III , vol.3 , pp. 530-536
    • Noordewier, M.O.1    Towell, G.G.2    Shavlik, J.W.3
  • 57
    • 29244448340 scopus 로고    scopus 로고
    • Microarray data analysis: from disarray to consolidation and consensus
    • Allison D.B., Cui X., Page G.P., and Sabripour M. Microarray data analysis: from disarray to consolidation and consensus. Nat. Rev. Genet. 7 1 (2006) 55-65
    • (2006) Nat. Rev. Genet. , vol.7 , Issue.1 , pp. 55-65
    • Allison, D.B.1    Cui, X.2    Page, G.P.3    Sabripour, M.4
  • 58
    • 25144442768 scopus 로고    scopus 로고
    • The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics
    • Dougherty E.R. The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics. Pattern Recognition 38 12 (2005) 2226-2228
    • (2005) Pattern Recognition , vol.38 , Issue.12 , pp. 2226-2228
    • Dougherty, E.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.