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Handbook of Data Visualization

7 Summary and Overview; Part III. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Summary and Overview; Part IV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

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Bibliographic Details
Other Authors: Chen, Chun-houh (Editor), Härdle, Wolfgang Karl (Editor), Unwin, Antony (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Edition:1st ed. 2008
Series:Springer Handbooks of Computational Statistics
Subjects:
Statistical Theory And Methods
Image Processing / Digital Techniques
Bioinformatics
Computational And Systems Biology
Computer Vision
Statistics 
Application Software
Computer Imaging, Vision, Pattern Recognition And Graphics
Computer And Information Systems Applications
Mathematical Statistics / Data Processing
Statistics And Computing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Data Visualization
  • Principles
  • A Brief History of Data Visualization
  • Good Graphics?
  • Static Graphics
  • Data Visualization Through Their Graph Representations
  • Graph-theoretic Graphics
  • High-dimensional Data Visualization
  • Multivariate Data Glyphs: Principles and Practice
  • Linked Views for Visual Exploration
  • Linked Data Views
  • Visualizing Trees and Forests
  • Methodologies
  • Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data
  • Grand Tours, Projection Pursuit Guided Tours, and Manual Controls
  • Multidimensional Scaling
  • Huge Multidimensional Data Visualization: Back to the Virtue of Principal Coordinates and Dendrograms in the New Computer Age
  • Multivariate Visualization by Density Estimation
  • Structured Sets of Graphs
  • Regression by Parts: Fitting Visually Interpretable Models with GUIDE
  • Structural Adaptive Smoothing by Propagation–Separation Methods
  • Smoothing Techniques for Visualisation
  • Data Visualization via Kernel Machines
  • Visualizing Cluster Analysis and Finite Mixture Models
  • Visualizing Contingency Tables
  • Mosaic Plots and Their Variants
  • Parallel Coordinates: Visualization, Exploration and Classification of High-Dimensional Data
  • Matrix Visualization
  • Visualization in Bayesian Data Analysis
  • Programming Statistical Data Visualization in the Java Language
  • Web-Based Statistical Graphics using XML Technologies
  • Selected Applications
  • Visualization for Genetic Network Reconstruction
  • Reconstruction, Visualization and Analysis of Medical Images
  • Exploratory Graphics of a Financial Dataset
  • Graphical Data Representation in Bankruptcy Analysis
  • Visualizing Functional Data with an Application to eBay’s Online Auctions
  • Visualization Tools for Insurance Risk Processes

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