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Volumn 3852 LNCS, Issue , 2006, Pages 234-243

Clustering of interval-valued symbolic patterns based on mutual similarity value and the concept of k-mutual nearest neighborhood

Author keywords

Interval valued data; k mutual nearest neighbourhood; Symbolic data analysis

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER VISION; DATA STRUCTURES; DATABASE SYSTEMS;

EID: 33744915775     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11612704_24     Document Type: Conference Paper
Times cited : (5)

References (12)
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    • Gowda, K.C.1    Ravi, T.V.2
  • 7
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    • Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity
    • Gowda K.C. and Ravi T.V., 1995 (b). "Divisive Clustering of Symbolic Objects using the concepts of both similarity and dissimilarity". Pattern Recognition, Vol 28, No 8, pp 1277-1282.
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  • 8
    • 4644323250 scopus 로고    scopus 로고
    • Multivalued type proximity measure and concept of mutual dissimilarity value for clustering symbolic patterns
    • Guru D.S., Bapu B. Kiranagi, P. Nagabhushan, 2004. "Multivalued type proximity measure and concept of mutual dissimilarity value for clustering symbolic patterns, Pattern Recognition. Vol. 38, No. 1, pp. 151-156.
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    • Guru, D.S.1    Kiranagi, B.B.2
  • 10
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    • Generalized Minkowski metrices for mixed feature type data analysis
    • April
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.