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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 6 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
13 years 5 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo
DEBS
2010
ACM
13 years 11 months ago
Magnet: practical subscription clustering for Internet-scale publish/subscribe
An effective means for building Internet-scale distributed applications, and in particular those involving group-based information sharing, is to deploy peer-to-peer overlay netwo...
Sarunas Girdzijauskas, Gregory Chockler, Ymir Vigf...
OR
2007
Springer
13 years 7 months ago
Hybrid heuristics for the probabilistic maximal covering location-allocation problem
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhan...
Francisco de Assis Corrêa, Antonio Augusto C...
VTC
2008
IEEE
140views Communications» more  VTC 2008»
14 years 2 months ago
Diversity Combining of Signals with Different Modulation Levels in Cooperative Relay Networks
In digital cooperative relaying, signals from the source-destination and relay-destination links are combined at the destination to achieve spatial diversity. These signals do not ...
Akram Bin Sediq, Halim Yanikomeroglu