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Matrix to Coordinates

Data Conversion from Multiple Matrix Formats to Reimann Coordinate Systems
 
Description
This application (2.1) will take any N x N matrix and create a coordinate system (Reimann space) based on similarities of the objects. The resulting "coordinates" work such that the closer two objects are the more similar they are.

Although the program will handle any size data your system memory will allow; the calculation time will vary based on the depth of dimensionality chosen.

This version, unlike M2C 1.0(C), uses the Brandes & Pich (2007) MDS algorithm.

2.1 Update : The rotation method was removed due to errors.

 
Documentation and PublicationsSoftware Downloads
Documentation Version 2.1 - pdf The download is available (Java application) with the usage information built in as a help menu and a documentation file is also provided with examples.
 
Bibliography
(9 March, 2009) "Distance Chart USA" 2009, from http://www.mapsofworld.com/usa/distance-chart/.

Brandes, U. and Pich, C., Eigensolver Methods for Progressive Multidimensional Scaling of Large Data. Proc. 14th Intl. Symp. * Graph Drawing (GD '06). LNCS 4372, pp. 42-53. © Springer-Verlag, 2007.

Wasserman, S. and K. Faust (1994). Social Network Analysis: Methods and Applications. Cambridge, Cambridge University Press.

Woelfel, J. and E. L. Fink (1980). The Measurement of Communication Processes: Galileo Theory and Method. New York, Academic Press.

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