5092 search results - page 329 / 1019 » Clustering the Feature Space |
187
Voted
ICANN
1997
Springer
15 years 11 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
165
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WWW
2004
ACM
16 years 8 months ago
2004
ACM
In this paper, we sketch a method for clustering e-commerce search engines by the type of products/services they sell. This method utilizes the special features of interface pages...
202
Voted
ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
172
Voted
IJCNN
2008
IEEE
16 years 1 months ago
2008
IEEE
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
176
Voted
CEC
2005
IEEE
16 years 1 months ago
2005
IEEE
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...