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» Clustering with the Connectivity Kernel
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CIC
2006
156views Communications» more  CIC 2006»
13 years 11 months ago
The Impact of Clustering in Distributed Topology Control
Abstract-- Topology control is the problem of assigning power levels to the nodes of an ad hoc network so as to maintain a specified network topology while minimizing energy consum...
Liang Zhao, Errol L. Lloyd
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 10 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
ICPR
2006
IEEE
14 years 10 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
ISNN
2004
Springer
14 years 3 months ago
Fuzzy-Kernel Learning Vector Quantization
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
FPGA
2001
ACM
128views FPGA» more  FPGA 2001»
14 years 2 months ago
Using sparse crossbars within LUT
In FPGAs, the internal connections in a cluster of lookup tables (LUTs) are often fully-connected like a full crossbar. Such a high degree of connectivity makes routing easier, bu...
Guy G. Lemieux, David M. Lewis