5390 search results - page 155 / 1078 » Support cluster machine |
100
Voted
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
80
Voted
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
82
Voted
CLUSTER
2008
IEEE
15 years 4 months ago
2008
IEEE
—In this paper, we describe a whole-system live migration scheme, which transfers the whole system run-time state, including CPU state, memory data, and local disk storage, of th...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
98
Voted
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...