2429 search results - page 74 / 486 » Toposemantic Network Clustering |
172
click to vote
ICML
1995
IEEE
16 years 5 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
181
click to vote
CISSE
2008
Springer
15 years 6 months ago
2008
Springer
Many algorithms and techniques were proposed to increase the efficiency of Sensor Networks. Due to high restrictions of this kind of networks, where the resources are limited, many...
110
click to vote
CEJCS
2011
14 years 4 months ago
2011
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
227
click to vote
BMCBI
2007
15 years 4 months ago
2007
Background: In recent years, an extensive characterization of network structures has been made in an effort to elucidate design principles of metabolic networks, providing valuabl...
137
click to vote
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...