A systems biology approach for unsupervised clustering of high-dimensional data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10122 LNCS, Issue , 2016, Pages 193-203

  Diaz, Diana ^a   Nguyen, Tin ^a   Draghici, Sorin ^a,b  

^a Wayne State University   (United States)

^b WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; FEATURE EXTRACTION; FORMAL LANGUAGES; GENE EXPRESSION; LEARNING SYSTEMS; PIPELINES;

CLUSTERING FEATURE; CLUSTERING METHODS; HIER-ARCHICAL CLUSTERING; HIGH DIMENSIONAL DATA; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL; SELECTION PROCEDURES; UNSUPERVISED CLUSTERING;

BIG DATA;

EID: 85009471638     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-51469-7_16     Document Type: Conference Paper

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