On The Correlation Clustering Problem
Language: English
Published by LAP LAMBERT Academic Publishing Dez 2009, 2009
- Softcover
- New
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This item is printed on demand - Print on Demand Titel. Neuware -We consider the correlation clustering problem which was initially introduced by Bansal, Blum, Chawla et al. Given a complete graph G on n vertices, with weights of +1 or -1 defined on the edges, we want to find a partition which maximizes the sum of the number of edges with positive weights inside the clusters plus the number of edges with negative weights between different clusters. In this thesis we present a deterministic polynomial time approximation scheme for finding such a partition. Our approach is different from the one given by Bansal, Blum, Chawla et al. as it relies on the Szemeredi's Regularity Lemma. We start by introducing the problem, then we introduce the concepts of regularity lemma and give a proof of Szemeredi's Regularity Lemma. Then we present the algorithm and the proof of the correctness of the algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
Seller Inventory # 9783838313542
- Title
- On The Correlation Clustering Problem
- Author
- Sriram Penumatcha
- Publisher
- LAP LAMBERT Academic Publishing Dez 2009
- Publication year
- 2009
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3838313542
- ISBN 13
- 9783838313542
- Item weight
- 113 grams
- Dimensions
- 220x150x5 mm
"Synopsis" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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