37 search results - page 7 / 8 » Tabular and Textual Methods for Selecting Objects from a Gro... |
PRL
2010
13 years 5 months ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
BMCBI
2008
13 years 6 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
ECOOP
2003
Springer
13 years 12 months ago
2003
Springer
Despite Java’s automatic reclamation of memory, memory leaks remain an important problem. For example, we frequently encounter memory leaks that cause production servers to crash...
BIOINFORMATICS
2007
13 years 6 months ago
2007
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
MICCAI
2005
Springer
14 years 7 months ago
2005
Springer
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...