Sciweavers

Share
46 search results - page 1 / 10
» Similarity Clustering of Dimensions for an Enhanced Visualiz...
Sort
View
INFOVIS
1998
IEEE
9 years 9 months ago
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
The order and arrangement of dimensions (variates) is crucial for the effectiveness of a large number of visualization techniques such as parallel coordinates, scatterplots, recur...
Mihael Ankerst, Stefan Berchtold, Daniel A. Keim
INFOVIS
2003
IEEE
9 years 10 months ago
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it dif´Čücult for users to navigate the data space. Effective dimension manage...
Jing Yang, Wei Peng, Matthew O. Ward, Elke A. Rund...
IV
2005
IEEE
130views Visualization» more  IV 2005»
9 years 11 months ago
A Comparison of Visual and Haptic Object Representations Based on Similarity
Do we judge similarity between two objects to be the same using touch and vision? We investigated this using psychophysical experiments in which subjects rated the similarity betw...
Theresa Cooke, Christian Wallraven, Heinrich H. B&...
ICIP
2006
IEEE
10 years 7 months ago
On the Use of Metrics for Multi-Dimensional Descriptors Clustering
The Visual Thesaurus is a new query approach when no starting image is available. It is a concise representation of all similar regions in a panel of visual patches; the user arra...
Hichem Houissa, Nozha Boujemaa
IV
2005
IEEE
136views Visualization» more  IV 2005»
9 years 11 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim
books