Apply the multidimensional scaling (MDS) algorithm in multiple dimensions with the aid of this program that can be controlled from the command-line console or employed in your own Java software #MDS library #MDS scaling #Java library #MDS #Scale #Minimization
MDSJ is a lightweight software application whose purpose is to help you make use of the multidimensional scaling (MDS) algorithm in order to be able to analyze the level of similarity of data objects into geometric positions.
You can either use the utility as a standalone tool via the command-line console or employ all classes in the package in your own Java software.
The program can be controlled via the command-line console. This means that you need to have some previous experience in inputting command-line parameters. The tool also reveals a list with the available commands directly in the CMD environment.
MDSJ can be employed in various fields, such as psychology, computer graphics, statistic, and data analysis. It offers support for stress minimization (by the SMACOF majorization algorithm) with arbitrary weights and dimensions) and stress minimization with rectangular dissimilarity matrices.
The application is able to read an input text file, which contains the input dissimilarities, and writes an output text file which includes the coordinates computed by the MDS algorithm.
MDSJ provides a straightforward way to make use of the classical MDS algorithm in multiple dimensions and is easy to work with as long as you are accustomed to the command-line console.
System requirements
What's new in MDSJ 0.2:
- Made linear algebra computations a bit more robust
- Extended command line interface
- Detailed spectral analysis of input dissimilarity matrix
- Stress Minimization with arbitrary weight matrix
MDSJ 0.2
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- Windows All
- file size:
- 18 KB
- filename:
- mdsj.jar
- main category:
- Programming
- developer:
- visit homepage
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