Applied biclustering methods for big and high dimensional data using R
edited by Adeyto Kasim (Durham University, United Kingdom), Ziv Shkedy (Hasselt University Diepenbeek, Belgium), Sebastian Kaiser (Ludwig Maximillian Universität Munich, Germany), Sepp Hochreiter (Johannes Kepler University Linz, Austria), Willem Talloen (Janssen Pharmaceuticals Beerse, Belgium)
| Year of publication: |
[2017]
|
|---|---|
| Other Persons: | Kasim, Adeyto (ed.) ; Shkedy, Ziv (ed.) ; Kaiser, Sebastian (ed.) ; Hochreiter, Sepp (ed.) ; Talloen, Willem (ed.) |
| Publisher: |
Boca Raton : CRC Press, Taylor & Francis Group, a Chapman & Hall book |
| Subject: | Data Analytics | Data analytics | Statistische Methode | Statistical method | Big Data | Big data | Programmiersprache | Programming language | Datenanalyse | Hochdimensionale Daten | R <Programm> |
| Description of contents: | Table of Contents [gbv.de] ; Description [zbmath.org] |
| Extent: | xxv, 401 Seiten Illustrationen, Diagramme 24 cm |
|---|---|
| Series: | |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Aufsatzsammlung |
| Language: | English |
| Notes: | Includes bibliographical references (pages 385-398) and index |
| ISBN: | 978-1-4822-0823-8 ; 978-1-315-35639-6 ; 978-1-4822-0824-5 |
| Classification: | Mathematische Statistik |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012388501