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» Nonparametric Information Theoretic Clustering Algorithm
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WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 2 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
14 years 4 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
ICOIN
2003
Springer
14 years 21 days ago
Information-Theoretic Bounds for Mobile Ad-hoc Networks Routing Protocols
Abstract. In this paper, we define the routing overhead as the amount of information needed to describe the changes in a network topology. We derive a universal lower bound on the...
Nianjun Zhou, Alhussein A. Abouzeid
ICIP
2004
IEEE
14 years 9 months ago
An information theoretic framework for image segmentation
In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
Jaume Rigau, Miquel Feixas, Mateu Sbert
ICML
2010
IEEE
13 years 8 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause