845 search results - page 25 / 169 » Adaptive K-Means Clustering |
96
Voted
JUCS
2007
14 years 9 months ago
2007
: Numerous studies have shown the difficulty for a single routing protocol to scale with respect to mobility and network size in wireless ad hoc networks. This paper presents a clu...
CCGRID
2001
IEEE
15 years 1 months ago
2001
IEEE
This paper describes the principles of an original adaptive interconnect for a computational cluster. Torus topology (2d or 3d) is used as a basis but nodes are allowed to effecti...
89
Voted
MMS
2007
14 years 9 months ago
2007
The wide availability of broadband networking technologies such as cable modems and DSL coupled with the growing popularity of the Internet has led to a dramatic increase in the a...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...