Assessing the number of components in finite Gaussian mixtures by Generalized Fisher Ratio, Normalized Entropy Criterion and Functional Merging

Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology

Volumn 26, Issue 1, 2000, Pages 95-103

  Molina, Christophe G ^a,b  

^a ANGLIA RUSKIN UNIVERSITY   (United Kingdom)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INFORMATION THEORY; MERGING; PROBABILITY DENSITY FUNCTION; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

EXPECTATION-MAXIMIZATION (EM) ALGORITHMS; FINITE GAUSSIAN MIXTURES; FUNCTIONAL MERGING; GENERALIZED FISHER RATIO; NORMALIZED ENTROPY;

SIGNAL FILTERING AND PREDICTION;

EID: 0034245237     PISSN: 09225773     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008199518065     Document Type: Article

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