244 search results - page 3 / 49 » Feature selection for high-dimensional genomic microarray da... |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...