5733 search results - page 140 / 1147 » Clustering Categorical Data |
154
click to vote
BMCBI
2008
15 years 6 months ago
2008
Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
167
click to vote
ICDM
2009
IEEE
15 years 3 months ago
2009
IEEE
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
158
click to vote
KDD
2007
ACM
16 years 6 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
155
click to vote
SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
160
click to vote
DAWAK
2003
Springer
15 years 11 months ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...