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Data Mining

Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
This is one book that can genuinely be said to be straight from the horse’s mouth. Written by the originator of the technique, it examines parallel coordinates as the leading methodology for multidimensional visualization. Starting from geometric foundations, this is the first systematic and rigorous exposition of the methodology's mathematical and algorithmic components. It covers, among many others, the visualization of multidimensional lines, minimum distances, planes, hyperplanes, and clusters of "near" planes. The last chapter explains in a non-technical way the methodology's application to visual and automatic data mining. The principles of the latter, along with guidelines, strategies and algorithms are illustrated in detail on real high-dimensional datasets.



Now You See It: Simple Visualization Techniques for Quantitative Analysis

Semiology of Graphics: Diagrams, Networks, Maps

Picturing the Uncertain World: How to Understand, Communicate, and Control Uncertainty through Graph

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Ser

Introduction to Pattern Recognition: A Matlab Approach
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