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» Limits of Spectral Clustering
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ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 5 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
VTC
2008
IEEE
117views Communications» more  VTC 2008»
14 years 2 months ago
Design of Rate Constrained Multi-User Receivers for Satellite Communications
—In the realm of satellite communications, one of the great impairments to increase the spectral efficiency is multi-user interference in the reverse link (mobile to satellite). ...
Sami Mekki, Mérouane Debbah
IRAL
2003
ACM
14 years 1 months ago
Keyword-based document clustering
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
Seung-Shik Kang
DAWAK
2007
Springer
14 years 2 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
HIS
2003
13 years 10 months ago
On the Performance of Ant-based Clustering
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It has been applied variously, from problems arising in commerce, to circuit design, t...
Julia Handl, Joshua D. Knowles, Marco Dorigo