434 search results - page 63 / 87 » Dimensionality Reduction of Clustered Data Sets |
VLDB
2007
ACM
14 years 9 months ago
2007
ACM
Similarity-based search over time-series databases has been a hot research topic for a long history, which is widely used in many applications, including multimedia retrieval, dat...
BMCBI
2008
13 years 8 months ago
2008
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
BMCBI
2008
13 years 8 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
AI
2004
Springer
13 years 8 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
JMLR
2010
13 years 3 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...