A K-means multivariate approach for clustering independent components from magnetoencephalographic data

NeuroImage

Volumn 62, Issue 3, 2012, Pages 1912-1923

  Spadone, Sara ^a   de Pasquale, Francesco ^a   Mantini, Dante ^a,b   Della Penna, Stefania ^a  

^a UNIVERSITY OF CHIETI   (Italy)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Cluster analysis; Fingerprint; Independent component analysis; K means clustering; Magnetoencephalography

Indexed keywords

ALGORITHM; ARTICLE; BRAIN FUNCTION; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; FINGER; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MAGNETOENCEPHALOGRAPHY; MALE; MATHEMATICAL ANALYSIS; MEDIAN NERVE; MULTIVARIATE ALGORITHM FOR GROUPING MAGNETOENCEPHALOGRAPHY INDEPENDENT COMPONENTS K MEANS BASED ANALYSIS; NERVE STIMULATION; NORMAL HUMAN; PHYSICAL PARAMETERS; PRIORITY JOURNAL; SPATIOTEMPORAL DYNAMICS; TASK PERFORMANCE;

ALGORITHMS; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; HUMANS; MAGNETOENCEPHALOGRAPHY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84863509149     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.05.051     Document Type: Article

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