I have implemented Spectral Clustering in C# after long hours of struggling with the math behind its decomposition.
Now that I finished compiling and testing my code, I need to verify that my coding is correct, beyond 10 data points, verifying the goodness of my implementation using pen and paper is difficult, hence Can anyone please guide me where I can find an executable program / tool / toolbox that I can use to generate Top K eigen vectors for large number of input data points ?
I googled for so many times but couldn't find such resource.
Thank you in advance.
I hear you Hassan, my suggestion would be :
1. Have you used excel , you can save/open the file/data in C# or MATLAB too
http://people.revoledu.com/kardi/tutorial/Excel/EigenValue.html
2. Use MATLAB for generating the random #s and eigen vectors (store it as .xls)
3. Not free: https://ilnumerics.net/Eigenvalues.html
4. Worst case write in C/C#
Thank you Murthy.
I am sort of automation guy, I will try to find a tool to do all the job, if I fail to encounter such tool, then I will go with your Excel recommendation.
The thing is that, my data points are in fact terms extracted from text and weighted according to their semantics, hence the Excel will be a tedious task for me.
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