1836 search results - page 173 / 368 » Mining Clustering Dimensions |
172
Voted
ICDM
2009
IEEE
15 years 3 months ago
2009
IEEE
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
343
click to vote
SDM
2011
SIAM
14 years 9 months ago
2011
SIAM
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
139
Voted
KDD
2003
ACM
16 years 6 months ago
2003
ACM
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
150
click to vote
PAKDD
2009
ACM
16 years 27 days ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
196
Voted
ICDM
2008
IEEE
16 years 17 days ago
2008
IEEE
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...