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| Category: Time Series Classification based on Bag-of-Features (TSBF) |
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 Matlab code for running Sparse Spatial Sample Kernels (SSSK) 
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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. The codes for SSSK and SAX are required. These codes are available on the internet. The same input format as for TSBF is required. |
Created Size Downloads |
2012-10-06 08:56:19 1.47 KB 940 |
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 Source code of TSBF
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R implementation for TSBF. See A Bag-of-Features Framework to Classify Time Series (TSBF) for detailed instructions. |
Created Size Downloads |
2013-02-13 11:05:58 128.62 KB 1371 |
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