Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Lee, Kwang H."'
Autor:
Kim, Dae-Won, Lee, Kwang H.
A novel initialization method in the fuzzy c-means (FCM) algorithm is proposed for the color clustering problem. Given a set of color points, the proposed initialization extracts dominant colors that are the most vivid and distinguishable colors. Col
Externí odkaz:
http://arxiv.org/abs/2407.17423
Autor:
Kim, Dae-Won, Lee, Kwang H.
The research interest of this paper is focused on the efficient clustering task for an arbitrary color data. In order to tackle this problem, we have tried to model the inherent uncertainty and vagueness of color data using fuzzy color model. By taki
Externí odkaz:
http://arxiv.org/abs/2407.06782
Autor:
Kim, Dae-Won, Lee, Kwang H.
A new cluster validity index is proposed for fuzzy clusters obtained from fuzzy c-means algorithm. The proposed validity index exploits inter-cluster proximity between fuzzy clusters. Inter-cluster proximity is used to measure the degree of overlap b
Externí odkaz:
http://arxiv.org/abs/2407.06774
Publikováno v:
In Thin Solid Films 2009 517(14):4056-4060
Publikováno v:
BMC Bioinformatics, Vol 12, Iss Suppl 2, p S2 (2011)
Abstract Background Side effects are unwanted responses to drug treatment and are important resources for human phenotype information. The recent development of a database on side effects, the side effect resource (SIDER), is a first step in document
Externí odkaz:
https://doaj.org/article/dff8064addba4f61abe9912e7bef04d1
Publikováno v:
In Expert Systems With Applications 2006 30(2):156-167
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In Information Sciences 2004 160(1):41-52
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In Information Sciences 2004 168(1):225-242
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In Optics and Lasers in Engineering 2003 40(4):307-324
Publikováno v:
In Fuzzy Sets and Systems 2001 120(3):429-434