766 search results - page 101 / 154 » Clustering high dimensional data using subspace and projecte... |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
ISBI
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper we propose a methodology for brain parcellation with anatomical and functional constraints dedicated to fMRI data analysis. The aim is to provide a representation of...
BMCBI
2011
13 years 10 days ago
2011
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...