2596 search results - page 197 / 520 » Classes and clusters in data analysis |
181
click to vote
BMCBI
2008
15 years 6 months ago
2008
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
200
click to vote
NIPS
2001
15 years 8 months ago
2001
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
176
click to vote
IJCNN
2008
IEEE
16 years 29 days ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
201
click to vote
NIPS
2008
15 years 8 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
168
click to vote
PKDD
2001
Springer
15 years 11 months ago
2001
Springer
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...