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» Max Cut for Random Graphs with a Planted Partition
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ICML
2010
IEEE
13 years 6 months ago
Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering
We describe an algorithm for clustering using a similarity graph. The algorithm (a) runs in O(n log3 n + m log n) time on graphs with n vertices and m edges, and (b) with high pro...
Nader H. Bshouty, Philip M. Long
CSCLP
2005
Springer
13 years 11 months ago
Partitioning Based Algorithms for Some Colouring Problems
We discuss four variants of the graph colouring problem, and present algorithms for solving them. The problems are k-Colourability, Max Ind k-COL, Max Val k-COL, and, finally, Max...
Ola Angelsmark, Johan Thapper
ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
13 years 11 months ago
Boosting Spectral Partitioning by Sampling and Iteration
A partition of a set of n items is a grouping of the items into k disjoint classes of equal size. Any partition can be modeled as a graph: the items become the vertices of the grap...
Joachim Giesen, Dieter Mitsche
ESA
2009
Springer
149views Algorithms» more  ESA 2009»
14 years 13 hour ago
Sparse Cut Projections in Graph Streams
Finding sparse cuts is an important tool for analyzing large graphs that arise in practice, such as the web graph, online social communities, and VLSI circuits. When dealing with s...
Atish Das Sarma, Sreenivas Gollapudi, Rina Panigra...
ICCS
2005
Springer
13 years 11 months ago
A Multi-level Approach for Document Clustering
Abstract. The divisive MinMaxCut algorithm of Ding et al. [3] produces more accurate clustering results than existing document cluster methods. Multilevel algorithms [4, 1, 5, 7] h...
Suely Oliveira, Sang-Cheol Seok