2596 search results - page 6 / 520 » Classes and clusters in data analysis |
SCANGIS
2001
14 years 11 months ago
2001
Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algor...
102
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PAKDD
2009
ACM
15 years 7 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
PAKDD
2007
ACM
15 years 3 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
BMCBI
2004
14 years 9 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
100
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BMCBI
2007
14 years 9 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...