Seriation in Combinatorial and Statistical Data Analysis - Leredde, Henri
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Présentation Seriation In Combinatorial And Statistical Data Analysis Format Relié
- Livre Informatique
Résumé :
This monograph offers an original broad and very diverse exploration of the seriation domain in data analysis, together with building a specific relation to clustering. Relative to a data table crossing a set of objects and a set of descriptive attributes, the search for orders which correspond respectively to these two sets is formalized mathematically and statistically. State-of-the-art methods are created and compared with classical methods and a thorough understanding of the mutual relationships between these methods is clearly expressed. The authors distinguish two families of methods: Geometric representation methods Algorithmic and Combinatorial methods Original and accurate methods are provided in the framework for both families. Their basis and comparison is made on both theoretical and experimental levels. The experimental analysis is very varied and very comprehensive. Seriation in Combinatorial and Statistical Data Analysis has a unique character in the literature falling within the fields of Data Analysis, Data Mining and Knowledge Discovery. It will be a valuable resource for students and researchers in the latter fields.
Biographie:
The general subject of this is mathematical statistics and computer science. More specifically, the subject is classification and data analysis. The thesis was defended in January 1971 ...
Sommaire:
The first position of Isra?l C?sar Lerman was at the Centre de Calcul of the Maison des Sciences de l'Homme in 1966. The vocation of this laboratory was defined by the introduction of computer science in the human and social sciences. He prepared there his doctorat ?s sciences math?matiques. ...
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