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Matlab code for running Sparse Spatial Sample Kernels (SSSK)

 

The code for performing leave-one-out (LVO) cross-validation (CV) on training data to select parameters. Based on the parameter setting providing the best CV error rate, test time series are classified. The details of the selected parameters are available on Error rates on UCR time series datasets.

SSSK and SAX are required. These codes are available on the internet.




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Created 2012-10-06 08:56:19
Created by admin
Changed at 2012-10-06 09:06:58
Modified by admin

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Copyright © 2014 mustafa gokce baydogan

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