Seriation in Combinatorial and Statistical Data Analysis (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advanced Information and Knowledge Processing
Release date:	March 2022
First published:	2022
Authors:	Israel Cesar Lerman • Henri Leredde
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	277
Edition:	1st ed. 2022
ISBN-13:	978-3-03-092693-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-092693-1
Barcode:	9783030926939

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