163 search results - page 22 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
BMCBI
2010
13 years 7 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
EWCBR
2006
Springer
13 years 11 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
GECCO
2004
Springer
14 years 27 days ago
2004
Springer
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...