679 search results - page 29 / 136 » Scaling Clustering Algorithms to Large Databases |
SIGMOD
2008
ACM
14 years 8 months ago
2008
ACM
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
DATAMINE
1999
13 years 8 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
ICPP
2000
IEEE
14 years 27 days ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
SIGMOD
2002
ACM
14 years 8 months ago
2002
ACM
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
BMCBI
2006
13 years 8 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...