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Volumn 2, Issue , 2003, Pages 1119-1122

Genetically derived fuzzy c-means clustering algorithm for segmentation

Author keywords

Clustering; Fuzzy c means; Genetic algorithm

Indexed keywords

FUZZY SETS; GENETIC ALGORITHMS; MATHEMATICAL MODELS;

EID: 0141651635     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 3
    • 0141823184 scopus 로고    scopus 로고
    • Soft Transition from probabilistic to possibilistic fuzzy clustering
    • The department of computer and information science, University of Genova, April
    • Francesco Masulli and Stefano Rovetta, "Soft Transition from probabilistic to possibilistic fuzzy clustering", The department of computer and information science, University of Genova, DISI technical report no. DISI-TR-02-03, April 2002.
    • (2002) DISI Technical Report No. DISI-TR-02-03 , vol.DISI-TR-02-03
    • Masulli, F.1    Rovetta, S.2
  • 8
    • 0035248083 scopus 로고    scopus 로고
    • Pixel Classification Using Variable String Genetic Algorithms with Chromosome Differentiation
    • February
    • S.Bandyopadhyay and S.K. Pal, "Pixel Classification Using Variable String Genetic Algorithms with Chromosome Differentiation", IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No.2, February 2001.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.2
    • Bandyopadhyay, S.1    Pal, S.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.