429 search results - page 42 / 86 » Unsupervised feature selection for principal components anal... |
BMCBI
2010
13 years 7 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
JCIT
2010
13 years 2 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
ICIC
2009
Springer
14 years 2 months ago
2009
Springer
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...