Multi-scale visual quality assessment for cluster analysis with Self-Organizing Maps

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7868, Issue , 2011, Pages

  Bernard, Jürgen ^a   Von Landesberger, Tatiana ^a   Bremm, Sebastian ^a   Schreck, Tobias ^a  

^a Technische Universität   (Germany)

Author keywords

Cluster comparison; Quality visualization and assessment; Self organizing maps; Visual analysis; Visual cluster analysis

Indexed keywords

ABSTRACTION LEVEL; CLUSTER ALGORITHMS; CLUSTER COMPARISON; CLUSTER VISUALIZATION; CLUSTERING METHODS; CLUSTERING PROCESS; CLUSTERING QUALITY; CLUSTERING RESULTS; CLUSTERINGS; DATA MINING TECHNIQUES; DATA SETS; EXPERIMENTAL DATA; INTEGRATED SYSTEMS; LARGE AMOUNTS OF DATA; MULTISCALES; NUMBER OF CLUSTERS; QUALITY ASSESSMENT; QUALITY VISUALIZATION AND ASSESSMENT; SELF ORGANIZING; SOM CLUSTERING; STRUCTURAL COMPARISON; VISUAL ANALYSIS; VISUAL CLUSTER ANALYSIS; VISUAL QUALITY ASSESSMENT; VISUAL TOOLS;

ABSTRACTING; CLUSTERING ALGORITHMS; CONFORMAL MAPPING; DATA MINING; DATA VISUALIZATION; INTEGRATED OPTICS; QUALITY CONTROL; RATING; SELF ORGANIZING MAPS; VISUALIZATION;

CLUSTER ANALYSIS;

EID: 79951865054     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.872545     Document Type: Conference Paper

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