543 search results - page 5 / 109 » An Experimental Comparison of Several Clustering and Initial... |
BMCBI
2005
13 years 7 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
FLAIRS
2007
13 years 9 months ago
2007
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
NIPS
2007
13 years 8 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
LREC
2008
13 years 8 months ago
2008
The aim of this paper is to present the design of a multimodal database suitable for research on new possibilities for automatic diagnosis of patients with severe obstructive slee...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...