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Parallel

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Parallel coordinates. Parallel coordinates is a common way of visualizing high-dimensional geometry and analyzing multivariate data. This visualization is closely related to time series visualization, except that it is applied to data where the axes do not correspond to points in time, and therefore do not have a natural order. Therefore, different axis arrangements may be of interest. History[edit] Parallel coordinates were often said to be invented by Philbert Maurice d'Ocagne (fr) in 1885,[1] but even though the words "Coordonnées parallèles" appear in the book title this work has nothing to do with the visualization techniques of the same name (the book only describes a method of coordinate transformation, see fulltext PDF of the book by clicking the link in the references).

Higher dimensions[edit] Adding more dimensions in parallel coordinates (often abbreviated ||-coords or PCs) involves adding more axes. Statistical considerations[edit] Reading[edit] Limitations[edit] Software[edit] See also[edit] Radar chart. Tübingen University: Algorithms in Bioinformatics: Dendroscope. Software for visualizing phylogenetic trees and rooted networks. Download Dendroscope 3 here. Dendroscope 3 - An interactive viewer for rooted phylogenetic trees and networks Researchers studying phylogenetic relationships need software that is able to visualize rooted phylogenetic trees and networks efficiently, increasingly of large datasets involving hundreds of thousands of taxa. The program should be user friendly (easy to run on all popular operating systems), facilitate interactive browsing and editing the trees and allow one to export the result in multiple file formats in publication quality.

In addition, there is a need for a program that allows one to compute rooted phylogenetic networks from trees. We have developed the platform independent tree and rooted network viewer Dendroscope that addresses these issues. Feature List: Download Use of the program requires a license. Download an installer for linux, MacOS X or Windows for version 3 here.

(Version two is still available here). Mondrian - Interactive Statistical Data Visualization in JAVA.