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Volumn 85, Issue 3, 2000, Pages 554-557

Clustering data by inhomogeneous chaotic map lattices

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; PATTERN RECOGNITION;

EID: 0034227771     PISSN: 00319007     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevLett.85.554     Document Type: Article
Times cited : (31)

References (19)
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    • note
    • While applying superparamagnetic clustering, we followed the prescription [7] to connect each point to the neighbor with which it has the highest correlation, so as to capture points lying on the periphery of clusters. Performances by our method, reported in the text, are obtained without adopting a similar processing stage.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.