Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization

Neurocomputing

Volumn 150, Issue PB, 2015, Pages 570-582

  Kim, Hannah ^a   Choo, Jaegul ^a   Reddy, Chandan K ^b   Park, Haesun ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b WAYNE STATE UNIVERSITY   (United States)

Author keywords

Clustering; Multidimensional projection; Scatter plot; Supervised dimension reduction; T distributed stochastic neighbor embedding; Visualization

Indexed keywords

CLUSTERING ALGORITHMS; DATA REDUCTION; DECISION MAKING; FLOW VISUALIZATION; REDUCTION; STOCHASTIC SYSTEMS; VISUALIZATION;

CLUSTERING; MULTIDIMENSIONAL PROJECTION; SCATTER PLOTS; STOCHASTIC NEIGHBOR EMBEDDING; SUPERVISED DIMENSION REDUCTIONS;

DATA VISUALIZATION;

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DOUBLY SUPERVISED T DISTRIBUTED STOCHASTIC NEIGHBOR EMBEDDING; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS; T DISTRIBUTED STOCHASTIC NEIGHBOR;

EID: 84922598421     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.09.064     Document Type: Article

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