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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 3 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
143
Voted
ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
15 years 2 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
15 years 7 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
15 years 4 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»
15 years 11 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