377 search results - page 42 / 76 » Assessing Data Mining Results on Matrices with Randomization |
PR
2008
13 years 7 months ago
2008
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...
Publication
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
ICTAI
2003
IEEE
14 years 26 days ago
2003
IEEE
With the exploding volume of microarray experiments comes increasing interest in mining repositories of such data. Meaningfully combining results from varied experiments on an equ...