Multivariate skew t mixture models: Applications to fluorescence-activated cell sorting data

DICTA 2009 - Digital Image Computing: Techniques and Applications

Volumn , Issue , 2009, Pages 526-531

  Wang, Kui ^a   Ng, Shu Kay ^b   McLachlan, Geoffrey J ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b GRIFFITH UNIVERSITY   (Australia)

Author keywords

Asymmetric multivariate data; EM algorithm; Fluorescene activated cell sorting; Mixture models; Skewed t

Indexed keywords

CELL SORTING; EM ALGORITHMS; FLUORESCENCE ACTIVATED CELL SORTING; MAXIMUM LIKELIHOOD ESTIMATE; MIXTURE COMPONENTS; MIXTURE MODEL; MODEL PARAMETERS; MULTIVARIATE DATA; NORMAL MIXTURE MODELS; PSEUDO-COMPONENTS; T DISTRIBUTION; T-MIXTURE MODELS;

IMAGE PROCESSING; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES; PATTERN RECOGNITION;

SORTING;

EID: 77950321764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2009.88     Document Type: Conference Paper

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