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Volumn 4, Issue , 2005, Pages 3210-3215

Classification and clustering of information objects based on fuzzy neighborhood system

Author keywords

Agglomerative clustering; Fuzzy K nearest neighborhood; Fuzzy neighborhood; Supervised classification

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; INFORMATION RETRIEVAL;

EID: 27944493878     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 4
    • 27944461166 scopus 로고    scopus 로고
    • http://vivisimo.com/
  • 7
    • 0142094566 scopus 로고    scopus 로고
    • Proximity measures for terms based on fuzzy neighborhoods in document sets
    • S. Miyamoto, Proximity measures for terms based on fuzzy neighborhoods in document sets, International Journal of Approximate Reasoning, Vol.34, pp. 181-199, 2003.
    • (2003) International Journal of Approximate Reasoning , vol.34 , pp. 181-199
    • Miyamoto, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.