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MOBICOM
2009
ACM
16 years 1 months ago
Mobility increases the connectivity of K-hop clustered wireless networks
In this paper we investigate the connectivity for large-scale clustered wireless sensor and ad hoc networks. We study the effect of mobility on the critical transmission range fo...
Qingsi Wang, Xinbing Wang, Xiaojun Lin
CEC
2007
IEEE
16 years 1 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
199
Voted
WCRE
1999
IEEE
15 years 11 months ago
Experiments with Clustering as a Software Remodularization Method
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...
Nicolas Anquetil, Timothy Lethbridge
200
Voted
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 8 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
217
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 8 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar