1301 search results - page 11 / 261 » Default Clustering from Sparse Data Sets |
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose a method based on sparse representation
(SR) to cluster data drawn from multiple low-dimensional
linear or affine subspaces embedded in a high-dimensional
space. Our ...
BMCBI
2010
13 years 8 months ago
2010
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
CSDA
2007
13 years 8 months ago
2007
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
BMCBI
2004
13 years 8 months ago
2004
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...