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....
|Title||:||Parallel Coordinates: Visual Multidimensional Geometry and Its Applications|
|Number of Pages||:||503 Pages|
|File Size||:||978 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications Reviews
I've been working on a d3.js-based parallel coordinates plugin for over a year now. I read many scholarly articles from the information visualization community about the usability and design of such plots.
OK, you have seen a parallel-coordinates plot - is there much more to it than meets the eye, and should you get a whole book to find out? I would suggest "no" to both questions. This is a very substantial mathematics book, but if you are interested in EDA, you only get about thirty pages in Chapter 10, which showcases Parallax, the author's commercial software package. (Its key feature is brushing, i.e. highlighting a subset of observations on a plot; in Parallax GUI, subsets are defined, in point-and-click way, using filters on variables' values and mutual ratios). The author gives a good work-out to the PC plot, but it's all pretty simple to begin with. (Sometimes too simple: some not-quite-kosher statistical statements show up, and limitations of the PC plot are never mentioned). Endorsements by non-mathematicians are quite surprising: perhaps they can explain what specific visualization wisdom they picked up from the book?
I work in the visualization area since 1995 and parallel coordinates was
I have extensive experience in data mining and have used many analytical and visualization tools. One of the first and most important tasks in data analysis is to visualize the data, but it was very hard to do in more than 3 dimensions until Alfred Inselberg's breakthrough invention of Parallel coordinates.