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TKDE
2008
111views more  TKDE 2008»
15 years 3 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 2 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
SSPR
2010
Springer
15 years 2 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
VIS
2006
IEEE
100views Visualization» more  VIS 2006»
16 years 5 months ago
Visualizing Abstract Data Using Animation
ing Abstract Data Using Animation Amit P. Sawant Department of Computer Science, North Carolina State University Christopher G. Healey Department of Computer Science, North Carolin...
Amit Sawant, Christopher Healey
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
16 years 5 months ago
Centroidal Voronoi Tessellation Based Algorithms for Vector Fields Visualization and Segmentation
A new method for the simplification and the visualization of vector fields is presented based on the notion of Centroidal Voronoi tessellations (CVT's). A CVT is a special Vo...
Qiang Du, Xiaoqiang Wang