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» Algorithms for Clustering Data
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GECCO
2003
Springer
14 years 1 months ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...
DIS
2006
Springer
13 years 11 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
ICASSP
2010
IEEE
13 years 5 months ago
A supervisory approach to semi-supervised clustering
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
Bryan Conroy, Yongxin Taylor Xi, Peter J. Ramadge
PR
2000
103views more  PR 2000»
13 years 7 months ago
Genetic algorithm-based clustering technique
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search f...
Ujjwal Maulik, Sanghamitra Bandyopadhyay
EWSN
2007
Springer
14 years 7 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...