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» Approximation Algorithms for Requirement Cut on Graphs
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PR
2007
189views more  PR 2007»
14 years 9 months ago
Information cut for clustering using a gradient descent approach
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
14 years 7 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
SIAMCOMP
1998
124views more  SIAMCOMP 1998»
14 years 9 months ago
Near-Linear Time Construction of Sparse Neighborhood Covers
This paper introduces a near-linear time sequential algorithm for constructing a sparse neighborhood cover. This implies analogous improvements (from quadratic to near-linear time)...
Baruch Awerbuch, Bonnie Berger, Lenore Cowen, Davi...
OPODIS
2007
14 years 11 months ago
Distributed Approximation Algorithms for Finding 2-Edge-Connected Subgraphs
Abstract. We consider the distributed construction of a minimum weight 2edge-connected spanning subgraph (2-ECSS) of a given weighted or unweighted graph. A 2-ECSS of a graph is a ...
Sven Oliver Krumke, Peter Merz, Tim Nonner, Kathar...
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
15 years 10 months ago
Fully-dynamic min-cut
We show that we can maintain up to polylogarithmic edge connectivity for a fully-dynamic graph in ~O(pn) time per edge insertion or deletion. Within logarithmic factors, this matc...
Mikkel Thorup