36 search results - page 1 / 8 » A Novel Spectral Clustering Method Based on Pairwise Distanc... |
JISE
2010
12 years 11 months ago
2010
DIS
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
PRL
2008
13 years 4 months ago
2008
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Speaker change detection is most commonly done by statistically determining whether the two adjacent segments of a speech stream are significantly different or not. In this paper, ...