477 search results - page 4 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
CAEPIA
2009
Springer
14 years 10 months ago
2009
Springer
TKDE
2008
14 years 9 months ago
2008
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 ...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
ISCA
1997
IEEE
15 years 1 months ago
1997
IEEE
The performance tradeoff between hardware complexity and clock speed is studied. First, a generic superscalar pipeline is defined. Then the specific areas of register renaming, ...