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COLING
2010
13 years 5 months ago
Dimensionality Reduction for Text using Domain Knowledge
Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as...
Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
ICDE
2002
IEEE
91views Database» more  ICDE 2002»
14 years 3 months ago
Lossy Reduction for Very High Dimensional Data
We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers to selective queries are requi...
Chris Jermaine, Edward Omiecinski
CBMS
2005
IEEE
14 years 10 days ago
Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
PCM
2004
Springer
99views Multimedia» more  PCM 2004»
14 years 3 months ago
Indexing Issues in Supporting Similarity Searching
Indexing issues that arise in the support of similarity searching are presented. This includes a discussion of the curse of dimensionality, as well as multidimensional indexing, di...
Hanan Samet
VISSYM
2003
13 years 11 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...