메뉴 건너뛰기




Volumn 4, Issue 1, 2011, Pages 12-28

Experimental comparison of iterative versus evolutionary crisp and rough clustering

Author keywords

Cluster Quality; Crisp Clustering; GA based Clustering; Rough Clustering

Indexed keywords

CONFORMAL MAPPING; GENETIC ALGORITHMS; HUMAN COMPUTER INTERACTION; ITERATIVE METHODS; OPTIMIZATION; SELF ORGANIZING MAPS; VIRTUAL REALITY;

EID: 78851470601     PISSN: 18756891     EISSN: 18756883     Source Type: Journal    
DOI: 10.1080/18756891.2011.9727760     Document Type: Article
Times cited : (2)

References (31)
  • 5
    • 0033715579 scopus 로고    scopus 로고
    • Genetic Algorithm-Based Clustering Technique
    • Maulik, U., and Bandyopadhyay, S., 2000. Genetic Algorithm-Based Clustering Technique. Pattern Recognition, 33:1455–1465.
    • (2000) Pattern Recognition , vol.33 , pp. 1455-1465
    • Maulik, U.1    Bandyopadhyay, S.2
  • 9
    • 0036471411 scopus 로고    scopus 로고
    • Nonhierarchical Document Clustering by a Tolerance Rough Set Model
    • Ho, T. B., and Nguyen, N. B., 2002. Nonhierarchical Document Clustering by a Tolerance Rough Set Model. International Journal of Intelligent Systems, 17:199–212.
    • (2002) International Journal of Intelligent Systems , vol.17 , pp. 199-212
    • Ho, T.B.1    Nguyen, N.B.2
  • 12
    • 4544352979 scopus 로고    scopus 로고
    • An Evolutionary Rough Partitive Clustering
    • Mitra, S., 2004. An Evolutionary Rough Partitive Clustering. Pattern Recognition Letters, 25 (12):1439–1449.
    • (2004) Pattern Recognition Letters , vol.25 , Issue.12 , pp. 1439-1449
    • Mitra, S.1
  • 13
    • 33646419553 scopus 로고    scopus 로고
    • Some Refinements of Rough k-Means
    • Peters, G., 2006. Some Refinements of Rough k-Means. Pattern Recognition, 39:1481–1491.
    • (2006) Pattern Recognition , vol.39 , pp. 1481-1491
    • Peters, G.1
  • 15
    • 3042712702 scopus 로고    scopus 로고
    • Rough Clustering and its Application to Medicine
    • Hirano, S., and Tsumoto, S., 2000. Rough Clustering and its Application to Medicine. Journal of Information Science, 124:125–137.
    • (2000) Journal of Information Science , vol.124 , pp. 125-137
    • Hirano, S.1    Tsumoto, S.2
  • 18
    • 3042753607 scopus 로고    scopus 로고
    • Cluster Analysis of Marketing Data: A Comparison of KMeans, Rough Set, and Rough Genetic Approaches
    • Idea Group Publishing
    • Voges, K. E., Ll. Pope, N. K., and Brown, M. R., 2002. “ Cluster Analysis of Marketing Data:A Comparison of KMeans, Rough Set, and Rough Genetic Approaches ”. In Heuristics and Optimization for Knowledge Discovery, 208–216. Idea Group Publishing.
    • (2002) Heuristics and Optimization for Knowledge Discovery , pp. 208-216
    • Voges, K.E.1    Ll. Pope, N.K.2    Brown, M.R.3
  • 19
    • 0035416470 scopus 로고    scopus 로고
    • Unsupervised Rough Set Classification using GAs
    • Lingras, P., 2001. Unsupervised Rough Set Classification using GAs. Journal Of Intelligent Information Systems, 16 (3):215–228.
    • (2001) Journal Of Intelligent Information Systems , vol.16 , Issue.3 , pp. 215-228
    • Lingras, P.1
  • 20
    • 11144312947 scopus 로고    scopus 로고
    • Interval Set Clustering of Web Users using Modified Kohonen Self-Organizing Maps based on the Properties of Rough Sets
    • Lingras, P., Hogo, M., and Snorek, M., 2004. Interval Set Clustering of Web Users using Modified Kohonen Self-Organizing Maps based on the Properties of Rough Sets. Web Intelligence and Agent Systems:An International Journal, 2 (3):217–230.
    • (2004) Web Intelligence and Agent Systems: An International Journal , vol.2 , Issue.3 , pp. 217-230
    • Lingras, P.1    Hogo, M.2    Snorek, M.3
  • 22
    • 4344603966 scopus 로고    scopus 로고
    • High Performance Clustering with Differential Evolution
    • Paterlini, S., and Krink, T., 2004. High Performance Clustering with Differential Evolution. Congress on Evolutionary Computations, 2:2004–2011.
    • (2004) Congress on Evolutionary Computations , vol.2 , pp. 2004-2011
    • Paterlini, S.1    Krink, T.2
  • 23
    • 0001138328 scopus 로고
    • Algorithm AS136: A K-Means Clustering Algorithm
    • Hartigan, J. A., and Wong, M. A., 1979. Algorithm AS136:A K-Means Clustering Algorithm. Applied Statistics, 28:100–108.
    • (1979) Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 26
    • 85024187472 scopus 로고    scopus 로고
    • Proc. The Fourth International conference on Rough Set and Knowledge Technology (RSKT2009)
    • Lingras, P., Evolutionary rough K-means Algorithm. Proc. The Fourth International conference on Rough Set and Knowledge Technology (RSKT2009).
    • Evolutionary rough K-means Algorithm
    • Lingras, P.1
  • 29
    • 78851472300 scopus 로고    scopus 로고
    • Rough K-medoid Clustering using GAs
    • Lingras, P., 2009. Rough K-medoid Clustering using GAs. Proc. of ICCI 2009
    • (2009) Proc. of ICCI 2009
    • Lingras, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.