Sciweavers

1347 search results - page 144 / 270
» Using Clustering Methods for Discovering Event Structures
Sort
View
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 6 months ago
Clustered low rank approximation of graphs in information science applications
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...
Berkant Savas, Inderjit S. Dhillon
ADHOC
2005
122views more  ADHOC 2005»
15 years 3 months ago
Maintaining weakly-connected dominating sets for clustering ad hoc networks
An ad hoc network is a multihop wireless communication network supporting mobile users. Network performance degradation is a major problem as the network becomes larger. Clusterin...
Yuanzhu Peter Chen, Arthur L. Liestman
NIPS
2004
15 years 4 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
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...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
TREC
2008
15 years 4 months ago
Weighted PageRank: Cluster-Related Weights
PageRank is a way to rank Web pages taking into account hyper-link structure of the Web. PageRank provides efficient and simple method to find out ranking of Web pages exploiting ...
Danil Nemirovsky, Konstantin Avrachenkov