5880 search results - page 109 / 1176 » Data Clustering: A Review |
BMCBI
2010
13 years 8 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
ACSW
2007
13 years 9 months ago
2007
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
: ? Improving Clustering Stability with Combinatorial MRFs Bekkerman, Ron; Scholz, Martin; Viswanathan, Krishnamurthy HP Laboratories HPL-2009-46 Clustering stability, combinatoria...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...