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87
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ICPR
2002
IEEE
15 years 5 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
ESWS
2006
Springer
15 years 4 months ago
Content Aggregation on Knowledge Bases Using Graph Clustering
Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-to-peer knowledge management (P2PKM) syste...
Christoph Schmitz, Andreas Hotho, Robert Jäsc...
111
Voted
VLDB
1995
ACM
129views Database» more  VLDB 1995»
15 years 4 months ago
A Cost Model for Clustered Object-Oriented Databases
Query processing is one of the most, critical issues in Object-Oriented DBMSs. Extensible opt,imizers with efficient, search strategies require a cost model to select the most eff...
Georges Gardarin, Jean-Robert Gruser, Zhao-Hui Tan...
ICANN
2010
Springer
15 years 21 days ago
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
Yiu-ming Cheung, Hong Jia
CORR
2010
Springer
132views Education» more  CORR 2010»
15 years 3 days ago
Performance of Interference Alignment in Clustered Wireless Ad Hoc Networks
Abstract--Spatial interference alignment among a finite number of users is investigated as a technique to increase the probability of successful transmission in an interference lim...
Roland Tresch, Maxime Guillaud