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Journal ArticleDOI

On cliques in graphs

J. W. Moon, +1 more
- 01 Mar 1965 - 
- Vol. 3, Iss: 1, pp 23-28
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TLDR
In this article, the maximum number of cliques possible in a graph with n nodes is determined and bounds are obtained for the number of different sizes of clique possible in such a graph.
Abstract
A clique is a maximal complete subgraph of a graph. The maximum number of cliques possible in a graph withn nodes is determined. Also, bounds are obtained for the number of different sizes of cliques possible in such a graph.

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Book ChapterDOI

Iterative Compression and Exact Algorithms

TL;DR: Iterative compression has recently led to a number of breakthroughs in parameterized complexity and it is shown that the technique can also be useful in the design of exact exponential time algorithms to solve NP-hard problems.
Journal ArticleDOI

Complexity Results on Graphs with Few Cliques

TL;DR: Several classes of graphs which have few cliques are discussed, and the complexity of some partitioning and covering problems are determined for the class of all graphs, which have fewer cliques than a given polynomial bound.
Book

Data Management for Multimedia Retrieval

TL;DR: This textbook on multimedia data management techniques offers a unified perspective on retrieval efficiency and effectiveness and presents data structures and algorithms that help store, index, cluster, classify, and access common data representations.
Journal ArticleDOI

Formalizing and solving the problem of clustering in MCDA

TL;DR: The problem of clustering in MCDA is formally defined using notions that are native to this field alone, and a stochastic heuristic approach is proposed, which is validated through tests on a large set of artificially generated benchmarks.
References
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Journal ArticleDOI

On the theory of graphs

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