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Most of the datamining problems can be reduced as a minimization/maximization problem.
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Let's consider a sampling in two different region of a function f :
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Tests
Let's see how the approach works.
As usual, all my experiments are compared with other techniques. In this case I chose as comparative method the well known "Nelder Mead" method.
I tried to optimize the Nelder Mead method playing around its param setting: shrink ratio, contraction ratio and reflection ratio.
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On the left side it has been represented the solution found by Nelder Mead method. ... click here to read the entire post EXPERIMENT 2:
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On the left side it has been represented the solution found by Nelder Mead method. Experiment 3 Experiment 4: Conclusion
The approach seems promising and works well in different contexts: I'm quite sure that many improvements can be implemented.
I'm looking forward to receive your comments, ideas and other comparative tests.
Stay tuned!
cristian
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