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Volumn 62, Issue 5, 2000, Pages 6004-6014

Cluster diversity and entropy on the percolation model: The lattice animal identification algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CRYSTAL MICROSTRUCTURE; CRYSTAL ORIENTATION; ENTROPY; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARTICLE SIZE ANALYSIS; PROBABILITY;

EID: 0034318381     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.62.6004     Document Type: Article
Times cited : (18)

References (39)
  • 32
    • 85037255795 scopus 로고    scopus 로고
    • T. Oliveira e Silva claims to have reached (Formula presented) using the algorithm described by S. Mertens in Ref. 21; see http://www.inesca.pt/∼tos/animals/44.html
    • T. Oliveira e Silva claims to have reached (Formula presented) using the algorithm described by S. Mertens in Ref. 21; see http://www.inesca.pt/∼tos/animals/44.html
  • 39
    • 0033220792 scopus 로고    scopus 로고
    • I. R. Tsang, I. J. Tsang, P. Scheunders, and D. Van Dyck, in Proceedings of the Fourth Joint Conference on Information Sciences, edited by Heng D Cheng (AIM, Durham, NC, 1998), Vol. 4, p. 250
    • I. J. Tsang, I. R. Tsang, and D. Van Dyck, Pattern Recogn. Lett. 20, 1279 (1999);I. R. Tsang, I. J. Tsang, P. Scheunders, and D. Van Dyck, in Proceedings of the Fourth Joint Conference on Information Sciences, edited by Heng D Cheng (AIM, Durham, NC, 1998), Vol. 4, p. 250.
    • (1999) Pattern Recogn. Lett. , vol.20 , pp. 1279
    • Tsang, I.J.1    Tsang, I.R.2    Van Dyck, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.