Seriation in combinatorial and statistical data analysis / Israël César Lerman, Henri Leredde.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Seriation in combinatorial and statistical data analysis / Israël César Lerman, Henri Leredde.

9783030926946 (electronic bk.)
303092694X (electronic bk.)
9783030926939
3030926931

Cham : Springer, [2022]

©2022

English

1 online resource : illustrations (some color).

10.1007/978-3-030-92694-6 doi

QA76.9.D343 L47 2022

006.3/12

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.

Includes bibliographical references and index.

Access limited to authorized users.

Description based on print version record.

Advanced information and knowledge processing.

Online Resources > Ebooks
All Resources