Funclust: A curves clustering method using functional random variables density approximation

Neurocomputing

Volumn 112, Issue , 2013, Pages 164-171

  Jacques, Julien ^a,b,c   Preda, Cristian ^a,b,c  

^a UNIVERSITÉ LILLE 1   (France)

^b INRIA   (France)

^c Polytech'Lille ^*  (France)

Author keywords

Functional data; Functional principal component analysis; Model based clustering; Random variable density

Indexed keywords

DENSITY APPROXIMATIONS; FUNCTIONAL DATAS; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS; KARHUNEN LOEVE EXPANSION; MODEL-BASED CLUSTERING; PARAMETRIC MIXTURE MODEL; PROBABILITY DENSITIES; VARIABLE DENSITY;

PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; RANDOM PROCESSES;

RANDOM VARIABLES;

ARTICLE; BODY HEIGHT; CLASSIFICATION ALGORITHM; CLUSTER ANALYSIS; EXPECTATION MAXIMIZATION ALGORITHM; FEMALE; FUNCTIONAL RANDOM VARIABLE DENSITY APPROXIMATION; GROWTH CURVE; HUMAN; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; RANDOM SAMPLE; SEX DIFFERENCE; SPECTROSCOPY; STOCHASTIC MODEL; SURFACE PROPERTY;

EID: 84877616133     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.11.042     Document Type: Article

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