Two-stage framework for visualization of clustered high dimensional data

VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Volumn , Issue , 2009, Pages 67-74

  Choo, Jaegul ^a   Bohn, Shawn ^b   Park, Haesun ^a  

^a Georgia Institute of Technology   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

2D projection; Clustered data; Dimension reduction; Generalized singular value decomposition; Linear discriminant analysis; Orthogonal centroid method; Principal component analysis; Regularization

Indexed keywords

2D PROJECTIONS; CENTROID METHOD; DATA DIMENSION REDUCTION; GENERALIZED SINGULAR VALUE DECOMPOSITION; LINEAR DISCRIMINANT ANALYSIS;

CLUSTERING ALGORITHMS; DATA VISUALIZATION; DISCRIMINANT ANALYSIS; GRAPHICAL USER INTERFACES; IMAGE RETRIEVAL; IMAGE SENSORS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; SINGULAR VALUE DECOMPOSITION; VISUALIZATION;

DATA REDUCTION;

EID: 72849129962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2009.5332629     Document Type: Conference Paper

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