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131
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ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
15 years 1 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
DIS
2006
Springer
15 years 7 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
127
Voted
NIPS
2003
15 years 4 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
121
Voted
GLOBECOM
2010
IEEE
15 years 1 months ago
Maximization of Data Gathering in Clustered Wireless Sensor Networks
In this paper, we investigate the maximization of the amount of gathered data in a clustered wireless sensor network (WSN). The amount of gathered data is maximized by (1) choosing...
Tianqi Wang, Wendi Rabiner Heinzelman, Alireza Sey...
ICC
2007
IEEE
115views Communications» more  ICC 2007»
15 years 9 months ago
Distributed Minimum-Cost Clustering Protocol for UnderWater Sensor Networks (UWSNs)
—In this paper, we study the node clustering problem in UnderWater Sensor Networks (UWSNs). We formulate the problem into a cluster-centric cost-based optimization problem with a...
Pu Wang, Cheng Li, Jun Zheng