simulated annealing for clustering

Hello,

I have data set that I am trying to cluster using simulated annealing. The data set is large, and I am new to such a methodology of clustering. I would appreciate any help towards such a goal towards an optimal partition for the data. I have already looked at the toolbox but I don't know if it will be useful for such purpose.

Thanks, Bryan

Answer 1

[Alan Weiss]

If you have Statistics Toolbox, take a look at the documentation on clustering. It seems to me you don't want to reinvent the wheel.

Furthermore, if you want to define your own objective function for the purposes of clustering, you would probably get better results from a different algorithm than simulated annealing. See Optimization Decision Table and Table for Choosing a Solver.

Good luck,

Alan Weiss

MATLAB mathematical toolbox documentation