477 search results - page 20 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
125
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BMCBI
2002
14 years 11 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
90
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SSPR
1998
Springer
15 years 4 months ago
1998
Springer
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
ICML
2007
IEEE
16 years 16 days ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
117
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MLDM
2007
Springer
15 years 5 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
IROS
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...