Pierre Hansen

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369 results — page 6 of 19

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Minimum sum-of-squares clustering consists in partitioning a given set of <i>n</i> points into <i>c</i> clusters in order to minimize the sum of squared dist...

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We consider one of the most important issues for multinationals, the determination of transfer prices. To do so, we examine the example of a multinational co...

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In this paper we present a simple technique that uses background information to improve mining the frequent patterns of structured data. This technique uses ...

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While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases th...

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With the help of the AutoGraphiX system, we study relations of the form

<img src="/cgi-bin/mimetex.cgi?\underline{b}m \le i1(G) \oplus i_2(G) \le \overl...

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Clusterwise regression is a technique for clustering data. Instead of using the classical homogeneity or separation criterion, clusterwise regression is ba...

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In previous work, bimatrix games were expressed as parametric linear mixed 0-1 programs and the <img src="/cgi-bin/mimetex.cgi?{\rm E}_\chi">MIP algorithm w...

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Consider a convex polygon <i>V<sub>n</sub></i> with <i>n</i> sides, perimeter <i>P<sub>n</sub></i>, diameter <i>D<sub>n</sub></i>, area <i>A<sub>n</sub></i>...

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The AutoGraphiX system (AGX 1 and AGX 2) for interactive, and for several functions automated, graph theory, discovers conjectures of algebraic or structura...

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<p>On étudie à l'aide du système AutoGraphiX 2 (AGX 2) des relations de la forme </p>

<p><center> <img src="/cgi-bin/mimetex.cgi?\underline{b}_{n} \, \l...

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Main methods, algorithms and applications of the Variable Neighborhood Search metaheuristic are surveyed, in view of a chapter of the <i>Encyclopedia of Opti...

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To the best of our knowledge, the complexity of minimum sum-of-squares clustering is unknown. Yet, it has often been stated that this problem is NP-hard. We...

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Given a class of graphs <img src="/cgi-bin/mimetex.cgi?\mathcal{F}">, a forbidden subgraph characterization (FSC) is a set of graphs <img src="/cgi-bin/mimet...

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Upper bounds for products of four measures of distances in graphs: diameter, radius, average eccentricity and remoteness with three measures of connectivity:...

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In the set of all connected graphs with a given domination number, we characterize the graphs which achieve the maximum value of the spectral radius of the ...

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We show that among connected graphs with maximum clique size <img src="/cgi-bin/mimetex.cgi?\omega">, the minimum value of the spectral radius of adjacency m...

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We present and compare three new compact linearizations for the quadratic 0-1 minimization problem, two of which achieving the same lower bound than the "sta...

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Data clustering methods have been developed extensively in the data mining literature for detecting useful patterns in large datasets in the form of dense...

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A set of vertices <i>S</i> in a graph <i>G</i> is a clique if any two of its vertices are adjacent. The clique number <img src="/cgi-bin/mimetex.cgi?\omega"...

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In this survey, we examine an important class of facility location problems known as the multisource Weber problem (also referred to as the continuous locat...

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