1301 search results - page 44 / 261 » Default Clustering from Sparse Data Sets |
BIOCOMP
2006
13 years 10 months ago
2006
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
ICMLA
2008
13 years 10 months ago
2008
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
BMCBI
2008
13 years 8 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...
IDA
2005
Springer
14 years 2 months ago
2005
Springer
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...