Topological and Statistical Methods for Complex Data: Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces (Mathematics and Visualization)
暫譯: 複雜數據的拓撲與統計方法:應對大規模、高維度及多變量數據空間(數學與視覺化)

  • 出版商: Springer
  • 出版日期: 2014-12-03
  • 售價: $7,920
  • 貴賓價: 9.5$7,524
  • 語言: 英文
  • 頁數: 297
  • 裝訂: Hardcover
  • ISBN: 3662448998
  • ISBN-13: 9783662448991
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

本書包含於2013年6月在法國Le Barp舉行的「使用拓撲學和統計學分析大規模、高維度和多變量數據研討會」上發表的論文。書中展示了一些該領域最傑出和最受認可的領導者的研究成果,他們探討了挑戰並詳細說明了分析極大規模數據的解決方案。

本書提出了利用拓撲學和統計技術的相互優勢來支持複雜數據的管理、分析和可視化的新方法。它涵蓋了理論和應用,並為讀者提供了重要關鍵概念和最新研究趨勢的概述。

本書的內容包括多變量和/或高維度分析技術、基於特徵的統計方法、組合算法、可擴展統計算法、標量和向量場拓撲以及多尺度表示。此外,本書詳細介紹了廣泛適用的算法,應用科學家可以利用這些算法從各種複雜數據集中獲取洞見。