31 search results - page 2 / 7 » Dimensionality Reduction via Genetic Value Clustering |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
CDC
2008
IEEE
14 years 5 months ago
2008
IEEE
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
BMCBI
2011
13 years 5 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
CSB
2003
IEEE
14 years 4 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...