Skip to main content

Topological and Statistical Methods for Complex Data

Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces

  • Conference proceedings
  • © 2015

Overview

  • Latest peer-reviewed results in a growing research area
  • Many applications in science and engineering
  • Important contributions to the fields of mathematics and computer science?
  • Includes supplementary material: sn.pub/extras

Part of the book series: Mathematics and Visualization (MATHVISUAL)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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 challenges as well as detail solutions to the analysis of extreme scale data.

The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends.

Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets.

Similar content being viewed by others

Keywords

Table of contents (16 papers)

  1. Large-Scale Data Analysis: In-Situ and Distributed Analysis

  2. Large-Scale Data Analysis: Efficient Representation of Large Functions

  3. Multi-Variate Data Analysis: Structural Techniques

  4. Multi-Variate Data Analysis: Classification and Visualization of Vector Fields

  5. High-Dimensional Data Analysis: Exploration of High-Dimensional Models

Editors and Affiliations

  • Sandia National Laboratories, MS 9152, Livermore, USA

    Janine Bennett

  • CEA CESTA, CS 60001, Le Barp CEDEX, France

    Fabien Vivodtzev

  • School of Computing and SCI Institute, University of Utah, Salt Lake City, USA

    Valerio Pascucci

Bibliographic Information

Publish with us