Téléchargez le livre : Seriation in Combinatorial and Statistical Data Analysis

Seriation in Combinatorial and Statistical Data Analysis

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Éditeur :

Springer


Collection :

Advanced Information and Knowledge Processing

Paru le : 2022-03-04

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Description
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 methodsAlgorithmic 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.
Pages
277 pages
Collection
Advanced Information and Knowledge Processing
Parution
2022-03-04
Marque
Springer
EAN papier
9783030926939
EAN PDF
9783030926946
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
11366 Ko
Prix
158,24 €
EAN EPUB
9783030926946
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
51046 Ko
Prix
158,24 €

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