2034 search results - page 13 / 407 » On the Comparability of Software Clustering Algorithms |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
PRL
2010
13 years 2 months ago
2010
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
APBC
2003
13 years 9 months ago
2003
Microarrays allow the monitoring of expressions for tens of thousands of genes simultaneously. Image analysis is an important aspect for microarray experiments that can affect sub...
BMCBI
2007
13 years 7 months ago
2007
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
We propose two Euclidean minimum spanning tree based clustering algorithms — one a k-constrained, and the other an unconstrained algorithm. Our k-constrained clustering algorith...