A batch rival penalized expectation-maximization algorithm for gaussian mixture clustering with automatic model selection

Computational and Mathematical Methods in Medicine

Volumn 2012, Issue , 2012, Pages

  Wen, Jiechang ^a   Zhang, Dan ^b   Cheung, Yiu Ming ^b   Liu, Hailin ^a   You, Xinge ^c  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAXIMUM PRINCIPLE;

AUTOMATIC MODEL SELECTION; COLOR IMAGE SEGMENTATION; EXPECTATION - MAXIMIZATIONS; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE CLUSTERING; LEARNING FRAMEWORKS; MAXIMUM WEIGHTED LIKELIHOOD; RIVAL PENALIZED EXPECTATION-MAXIMIZATION ALGORITHM;

CLUSTERING ALGORITHMS;

ARTICLE; AUTOMATION; CONCEPTUAL FRAMEWORK; EXPECTATION; KERNEL METHOD; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; ALGORITHM; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; NORMAL DISTRIBUTION; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; NORMAL DISTRIBUTION;

EID: 84863297743     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2012/425730     Document Type: Article

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