1110 search results - page 48 / 222 » Clustering with the Connectivity Kernel |
PR
2007
13 years 10 months ago
2007
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
FGR
2008
IEEE
14 years 5 months ago
2008
IEEE
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
MST
2010
13 years 5 months ago
2010
Cluster Editing is transforming a graph by at most k edge insertions or deletions into a disjoint union of cliques. This problem is fixed-parameter tractable (FPT). Here we comput...
INCDM
2010
Springer
13 years 9 months ago
2010
Springer
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...