Visualization and Verbalization of Data

Herausgeber: Blasius, Jorg; Greenacre, Michael

• Gebundenes Buch

Produktbeschreibung

This volume shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, and more.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 392
• Erscheinungstermin: 10. April 2014
• Englisch
• Abmessung: 241mm x 159mm x 27mm
• Gewicht: 672g
• ISBN-13: 9781466589803
• ISBN-10: 1466589809
• Artikelnr.: 39160629

Autorenporträt

Jorg Blasius, Michael Greenacre

Inhaltsangabe

History of Correspondence Analysis and Related Methods: Some Prehistory of
CARME: Visual Language and Visual Thinking. Some History of Algebraic
Canonical Forms and Data Analysis. Historical Elements of Correspondence
Analysis and Multiple Correspondence Analysis. History of Nonlinear
Principal Component Analysis. History of Canonical Correspondence Analysis.
History of Multiway Component Analysis and Three-Way Correspondence
Analysis. Past, Present, and Future of Multidimensional Scaling. History of
Cluster Analysis. The Contribution of Benzécri and the French School:
Simple Correspondence Analysis. Distributional Equivalence and Linguistics.
Multiple Correspondence Analysis. Structured Data Analysis. Empirical
Construction of Bourdieu's Social Space. Multiple Factor Analysis: General
Presentation and Comparison with Statis. Data Doubling and Fuzzy Coding.
Symbolic Data Analysis: A Factorial Approach Based on Fuzzy Coded Data.
Group Average Linkage Compared to Ward's Method in Hierarchical Clustering.
Analyzing a Pair of Tables: Co-Inertia Analysis and Duality Diagrams.
References.