메뉴 건너뛰기




Volumn 12, Issue 2, 2008, Pages 83-99

Local vs global interactions in clustering algorithms: Advances over K-means

Author keywords

[No Author keywords available]

Indexed keywords


EID: 85013586722     PISSN: 13272314     EISSN: 18758827     Source Type: Journal    
DOI: 10.3233/KES-2008-12201     Document Type: Article
Times cited : (13)

References (40)
  • 1
    • 85013592045 scopus 로고    scopus 로고
    • http://mlearn.ics.uci.edu/databases/.
  • 2
    • 85013593970 scopus 로고    scopus 로고
    • http://www.ihes.fr/ zinovyev/princmanif2006/.
  • 4
    • 1142279663 scopus 로고    scopus 로고
    • An approach for fuzzy rule-base adaptation using on-line clustering
    • P. Angelov, An approach for fuzzy rule-base adaptation using on-line clustering International Journal of Approximate Reasoning 35(3) (2004), 275-289.
    • (2004) International Journal of Approximate Reasoning , vol.35 , Issue.3 , pp. 275-289
    • Angelov, P.1
  • 7
    • 33750572807 scopus 로고    scopus 로고
    • Performance functions and clustering algorithms
    • May, ISSN 1352-9404
    • W. Barbakh and C. Fyfe, Performance functions and clustering algorithms, Computing and Information Systems 10(2) (May 2006), 2-8. ISSN 1352-9404.
    • (2006) Computing and Information Systems , vol.10 , Issue.2 , pp. 2-8
    • Barbakh, W.1    Fyfe, C.2
  • 11
    • 0344110441 scopus 로고    scopus 로고
    • Developments of the generative topographic mapping
    • C.M. Bishop, M. Svensen and C.K.I.Williams, Developments of the generative topographic mapping, Neurocomputing 21(1) (1998), 203-224.
    • (1998) Neurocomputing , vol.21 , Issue.1 , pp. 203-224
    • Bishop, C.M.1    Svensen, M.2    Williams, C.K.I.3
  • 12
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery 2(2) (1998), 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 14
    • 0015644825 scopus 로고
    • A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
    • J.C. Dunn, A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters, Journal of Cybernetics 3 (1973), 32-57.
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 15
    • 0037224449 scopus 로고    scopus 로고
    • Identifying distinct classes of bladder carcinoma using microarrays
    • L. Dyrskjot, Identifying distinct classes of bladder carcinoma using microarrays Nat Genetics 33(1) (2003), 90-96.
    • (2003) Nat Genetics , vol.33 , Issue.1 , pp. 90-96
    • Dyrskjot, L.1
  • 16
    • 85013570842 scopus 로고    scopus 로고
    • chapter Algorithms for Real-Time Clustering and Generation of Rules from Data, pages, John Wiley and Sons, US, ISBN 978-0-470-02760-8
    • D. Filev and P. Angelov, Advances in Fuzzy Clustering and its Applications, chapter Algorithms for Real-Time Clustering and Generation of Rules from Data, pages 353-370. John Wiley and Sons, US, 2007. ISBN 978-0-470-02760-8.
    • (2007) Advances in Fuzzy Clustering and its Applications , pp. 353-370
    • Filev, D.1    Angelov, P.2
  • 17
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R.A. Fisher, 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
  • 19
    • 33947287433 scopus 로고    scopus 로고
    • Two topographic maps for data visualization
    • ISSN 1384-5810
    • C. Fyfe, Two topographic maps for data visualization Data Mining and Knowledge Discovery 14 (2007), 207-224. ISSN 1384-5810.
    • (2007) Data Mining and Knowledge Discovery , vol.14 , pp. 207-224
    • Fyfe, C.1
  • 22
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel based clustering in feature space
    • May
    • M. Girolami, Mercer kernel based clustering in feature space IEEE Transactions on Neural Networks 13(3) (May 2002), 780-784.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 23
    • 0001138328 scopus 로고
    • A k-means clustering algorithm
    • J. Hartigan and M. Wang, A k-means clustering algorithm, Applied Statistics 28 (1979), 100-108.
    • (1979) Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.1    Wang, M.2
  • 31
    • 0035272287 scopus 로고    scopus 로고
    • An introduction to kernel-based learning algorithms
    • March
    • K.R. Muller and S. Mika, An introduction to kernel-based learning algorithms, IEEE Trans On Neural Networks 12(2) (March 2001), 181-202.
    • (2001) IEEE Trans On Neural Networks , vol.12 , Issue.2 , pp. 181-202
    • Muller, K.R.1    Mika, S.2
  • 32
    • 48749097587 scopus 로고    scopus 로고
    • Technical Report 35, School of Computing, University of Paisley
    • M. Pena and C. Fyfe, The harmonic topographic map. Technical Report 35, School of Computing, University of Paisley, 2005.
    • (2005) The harmonic topographic map
    • Pena, M.1    Fyfe, C.2
  • 33
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkopf, A. Smola and K.-R. Muller, Nonlinear component analysis as a kernel eigenvalue problem, Neural Computation 10 (1998), 1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.-R.3
  • 35
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J.A.K. Suykens and J. Vandewalle, Least squares support vector machine classifiers, Neural Processing Letters 9(3) (1999), 293-300.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 37
    • 0036565797 scopus 로고    scopus 로고
    • Hierarchical gtm: Constructing localized non-linear projection manifolds in a principled way, (IEEE)
    • P. Tino and I. Nabney, Hierarchical gtm: constructing localized non-linear projection manifolds in a principled way, (IEEE) Transaction on Pattern Analysis and Machine Intelligence 24(5) (2001), 639-656.
    • (2001) Transaction on Pattern Analysis and Machine Intelligence , vol.24 , Issue.5 , pp. 639-656
    • Tino, P.1    Nabney, I.2
  • 39
    • 19644383468 scopus 로고    scopus 로고
    • Generalised k-harmonic means-dynamic weighting of data in unsupervised learning
    • B. Zhang, Generalised k-harmonic means-dynamic weighting of data in unsupervised learning. In First SIAM International Conference on Data Mining, 2001. http://www.siam.org/ meetings/sdm01/pdf/sdm01 06.pdf.
    • (2001) First SIAM International Conference on Data Mining
    • Zhang, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.