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» Clustering under Perturbation Resilience
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NIPS
2008
13 years 11 months ago
On the Reliability of Clustering Stability in the Large Sample Regime
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
Ohad Shamir, Naftali Tishby
ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
14 years 3 months ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh
ANTSW
2010
Springer
13 years 7 months ago
Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation
Activator-inhibitor models have been widely used to explain several morphogenetic processes. They have also been used to engineer algorithms for computer graphics, distributed syst...
Lidia Yamamoto, Daniele Miorandi
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 10 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
CLUSTER
2002
IEEE
13 years 9 months ago
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
In this paper, we propose an on-demand distributed clustering algorithm for multi-hop packet radio networks. These types of networks, also known as ad hoc networks, are dynamic in ...
Mainak Chatterjee, Sajal K. Das, Damla Turgut