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» Hierarchical exploration of large multivariate data sets
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IVS
2007
110views more  IVS 2007»
13 years 8 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
EOR
2008
123views more  EOR 2008»
13 years 8 months ago
A combined approach for segment-specific market basket analysis
Market baskets arise from consumers' shopping trips and include items from multiple categories that are frequently chosen interdependently from each other. Explanatory models...
Yasemin Boztug, Thomas Reutterer
BMCBI
2008
117views more  BMCBI 2008»
13 years 8 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
CVPR
2003
IEEE
14 years 2 months ago
ROD-TV: Reconstruction on Demand by Tensor Voting
A “graphics for vision” approach is proposed to address the problem of reconstruction from a large and imperfect data set: reconstruction on demand by tensor voting, or ROD-TV...
Wai-Shun Tong, Chi-Keung Tang
ISMIS
1997
Springer
14 years 25 days ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira