logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Seriation In Combinatorial And Statistical Data Analysis Isral Csar Lerman

  • SKU: BELL-46753988
Seriation In Combinatorial And Statistical Data Analysis Isral Csar Lerman
$ 31.00 $ 45.00 (-31%)

4.1

100 reviews

Seriation In Combinatorial And Statistical Data Analysis Isral Csar Lerman instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 11.02 MB
Pages: 286
Author: Israël César Lerman, Henri Leredde
ISBN: 9783030926939, 3030926931
Language: English
Year: 2022

Product desciption

Seriation In Combinatorial And Statistical Data Analysis Isral Csar Lerman by Israël César Lerman, Henri Leredde 9783030926939, 3030926931 instant download after payment.

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.

Related Products