421 search results - page 24 / 85 » A divide-and-merge methodology for clustering |
BMCBI
2008
14 years 10 months ago
2008
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
BMCBI
2005
14 years 9 months ago
2005
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
SBCCI
2003
ACM
15 years 3 months ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
BIOINFORMATICS
2007
14 years 10 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...