Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces

This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenge...

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Bibliographic Details
Other Authors: Bennett, Janine (Editor), Vivodtzev, Fabien (Editor), Pascucci, Valerio (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2015, 2015
Edition:1st ed. 2015
Series:Mathematics and Visualization
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • I. Large-scale data analysis: In-situ and distributed analysis
  • II. Large-scale data analysis: Efficient representation of large-functions
  • III. Multi-variate data analysis: Structural techniques
  • IV. Multi-variate data analysis: Classification and visualization of vector fields
  •  V. High-dimensional data analysis: Exploration of high-dimensional models
  • VI. High-dimensional data analysis: Analysis of large systems