961 search results - page 18 / 193 » Significance-Driven Graph Clustering |
ALT
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Assume we are given a sample of points from some underlying distribution which contains several distinct clusters. Our goal is to construct a neighborhood graph on the sa...
WEBI
2005
Springer
14 years 26 days ago
2005
Springer
Several algorithms based on link analysis have been developed to measure the importance of nodes on a graph such as pages on the World Wide Web. PageRank and HITS are the most pop...
PC
2010
13 years 5 months ago
2010
Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simula...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The median and mean graph are basic building blocks for statistical graph analysis and unsupervised pattern recognition methods such as central clustering and graph quantization. ...