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Volumn 4400 LNCS, Issue PART 2, 2007, Pages 120-139

Applications of rough set based K-means, Kohonen SOM, GA clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; FUZZY CLUSTERING; GENETIC ALGORITHMS; SELF ORGANIZING MAPS; WEB SERVICES;

EID: 38149094907     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71663-1_8     Document Type: Conference Paper
Times cited : (25)

References (26)
  • 2
    • 0001138328 scopus 로고
    • Algorithm AS136: A K-Means Clustering Algorithm
    • Hartigan JA and Wong MA (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
  • 3
    • 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
  • 7
    • 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
  • 9
    • 38149058177 scopus 로고    scopus 로고
    • Lingras P, Adams G. (2002) Selection of Time-Series for Clustering Supermarket Customers. Technical Report 2002_006, Department of Mathematics and Computing Science, Saint Mary's University, Halifax, N.S., Canada. http://cs.stmarys.ca/tech_reports/
    • Lingras P, Adams G. (2002) Selection of Time-Series for Clustering Supermarket Customers. Technical Report 2002_006, Department of Mathematics and Computing Science, Saint Mary's University, Halifax, N.S., Canada. http://cs.stmarys.ca/tech_reports/
  • 11
    • 7444250825 scopus 로고    scopus 로고
    • Clustering Supermarket Customers using Rough Set Based Kohonen Networks
    • Proceedings of Fourteenth International Symposium on Methodologies for Intelligent Systems, Springer
    • Lingras P, Hogo M, Snorek M, Leonard B (2003) Clustering Supermarket Customers using Rough Set Based Kohonen Networks. Proceedings of Fourteenth International Symposium on Methodologies for Intelligent Systems, Lecture Notes in Artificial Intelligence Series, 2871, Springer, 169-173
    • (2003) Lecture Notes in Artificial Intelligence Series , vol.2871 , pp. 169-173
    • Lingras, P.1    Hogo, M.2    Snorek, M.3    Leonard, B.4
  • 12
    • 11144312947 scopus 로고    scopus 로고
    • Interval Set Clustering of Web Users using Modified Kohonen Self-Organizing Maps based on the Properties of Rough Sets. Web Intelligence and Agent Systems
    • Lingras P, Hogo M, 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)
    • (2004) An International Journal , vol.2 , Issue.3
    • Lingras, P.1    Hogo, M.2    Snorek, M.3
  • 18
    • 38149008836 scopus 로고    scopus 로고
    • Peters JF, Skowron A, Suraj Z, Rzasa W, Borkowski M (2002) Clustering: A rough set approach to constructing information granules. Soft Computing and Distributed Processing, Proceedings of 6th International Conference, SCDP 2002, 57-61
    • Peters JF, Skowron A, Suraj Z, Rzasa W, Borkowski M (2002) Clustering: A rough set approach to constructing information granules. Soft Computing and Distributed Processing, Proceedings of 6th International Conference, SCDP 2002, 57-61
  • 20
    • 0002247511 scopus 로고
    • Improved method of grouping provincewide permanent traffic counters
    • Sharma SC, Werner A (1981) Improved method of grouping provincewide permanent traffic counters. Transportation Research Record 815:13-18
    • (1981) Transportation Research Record , vol.815 , pp. 13-18
    • Sharma, S.C.1    Werner, A.2
  • 21
    • 84958045580 scopus 로고
    • Information granules in distributed environment
    • Zhong N, Skowron A, Ohsuga S (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, Springer Verlag, Tokyo
    • Skowron A, Stepaniuk J (1999) Information granules in distributed environment. In: Zhong N, Skowron A, Ohsuga S (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. Lecture notes in Artificial Intelligence. Springer Verlag, Tokyo, 1711:357-365
    • (1711) Lecture notes in Artificial Intelligence , pp. 357-365
    • Skowron, A.1    Stepaniuk, J.2
  • 22
    • 3042753607 scopus 로고    scopus 로고
    • Cluster Analysis of Marketing Data: A Comparison of K-Means, Rough Set, and Rough Genetic Approaches
    • Abbas HA, Sarker RA, Newton CS eds, Idea Group Publishing
    • Voges KE, Pope NKLl, Brown MR (2002) Cluster Analysis of Marketing Data: A Comparison of K-Means, Rough Set, and Rough Genetic Approaches. In: Abbas HA, Sarker RA, Newton CS (eds) Heuristics and Optimization for Knowledge Discovery, Idea Group Publishing 208-216
    • (2002) Heuristics and Optimization for Knowledge Discovery , pp. 208-216
    • Voges, K.E.1    Pope, N.K.L.2    Brown, M.R.3
  • 24
    • 33749684314 scopus 로고    scopus 로고
    • Analogy-Based Reasoning in Classifier Construction
    • Wojna A (2005) Analogy-Based Reasoning in Classifier Construction. Transations of Rough Sets 4:277-374
    • (2005) Transations of Rough Sets , vol.4 , pp. 277-374
    • Wojna, A.1
  • 25
    • 0032142371 scopus 로고    scopus 로고
    • Constructive and algebraic methods of the theory of rough sets
    • Yao YY (1998) Constructive and algebraic methods of the theory of rough sets. Information Sciences 109:21-47
    • (1998) Information Sciences , vol.109 , pp. 21-47
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.