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Volumn 16, Issue 2, 2002, Pages 240-243

Dynamic local search for clustering with unknown number of clusters

Author keywords

Clustering; Number of clusters; Optimization; Vector quantization

Indexed keywords

ALGORITHMS; FUNCTION EVALUATION; OPTIMIZATION; PROBLEM SOLVING; VECTORS; LOCAL SEARCH (OPTIMIZATION); PATTERN RECOGNITION; VECTOR QUANTIZATION;

EID: 9444253990     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (11)
  • 4
    • 0024963110 scopus 로고
    • Stochastic relaxation algorithm for improved vector quantiser design
    • Zeger K, Gersho A, 1989. Stochastic relaxation algorithm for improved vector quantiser design. Electronics Letters 25(14), 896-898.
    • (1989) Electronics Letters , vol.25 , Issue.14 , pp. 896-898
    • Zeger, K.1    Gersho, A.2
  • 7
    • 0034345982 scopus 로고    scopus 로고
    • Randomized local search algorithm for the clustering problem
    • P. Fränti and J. Kivijärvi, "Randomized local search algorithm for the clustering problem", Pattern Analysis and Applications 2000; 3(4): 358-369.
    • (2000) Pattern Analysis and Applications , vol.3 , Issue.4 , pp. 358-369
    • Fränti, P.1    Kivijärvi, J.2
  • 8
    • 84949661265 scopus 로고    scopus 로고
    • Stepwise clustering algorithm for unknown number of clusters
    • Univ. of Joensuu, (submitted)
    • I. Kärkkäinen and P. Fränti, "Stepwise clustering algorithm for unknown number of clusters", Univ. of Joensuu, Dept. of CS, Report A-2002-5. (submitted)
    • Dept. of CS, Report , vol.A-2002-5
    • Kärkkäinen, I.1    Fränti, P.2
  • 10
    • 0031192257 scopus 로고    scopus 로고
    • Clustering by competitive agglomeration
    • Frigui H, Krishnapuram R, Clustering by Competitive Agglomeration. Pattern Recognition 1997; 30(7): 1109-1119.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1109-1119
    • Frigui, H.1    Krishnapuram, R.2
  • 11
    • 0031069945 scopus 로고    scopus 로고
    • The LBG-U method for vector quantization - An improvement over LBG inspired from neural networks
    • Fritzke B, The LBG-U method for vector quantization - an improvement over LBG inspired from neural networks. Neural Processing Letters 1997; 5(1): 35-45.
    • (1997) Neural Processing Letters , vol.5 , Issue.1 , pp. 35-45
    • Fritzke, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.