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APPROX
2007
Springer
67views Algorithms» more  APPROX 2007»
15 years 10 months ago
Maximum Gradient Embeddings and Monotone Clustering
abstract Manor Mendel1 and Assaf Naor2 1 The Open University of Israel 2 Courant Institute Let (X, dX ) be an n-point metric space. We show that there exists a distribution D over ...
Manor Mendel, Assaf Naor
ANTSW
2004
Springer
15 years 9 months ago
How to Use Ants for Hierarchical Clustering
Abstract. We present in this paper, a new model for document hierarchical clustering, which is inspired from the self-assembly behavior of real ants. We have simulated the way ants...
Hanene Azzag, Christiane Guinot, Gilles Venturini
ESANN
2008
15 years 5 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
ICASSP
2011
IEEE
14 years 7 months ago
An utterance comparison model for speaker clustering using factor analysis
We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speak...
Woojay Jeon, Changxue Ma, Dusan Macho
PDP
2003
IEEE
15 years 9 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert