962 search results - page 10 / 193 » Redundancy based feature selection for microarray data |
PRL
2006
14 years 9 months ago
2006
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
68
Voted
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
74
Voted
KDD
2003
ACM
15 years 10 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
ECML
2006
Springer
15 years 1 months ago
2006
Springer
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
DMIN
2006
14 years 11 months ago
2006