Problem: The function runs slowly for large input data sets.
For a large input data set, the function runs slowly, spending much time on one step, or it terminates with a failure message. Consult the logs for error messages and troubleshooting information.
Workarounds:
- Improve the execution time of the saxification step, in any of the following ways:
- Increase SaxWindowSize argument value.
- Increase the SaxOutputFrequency argument value.
- Decrease the SaxSymbolsPerWindow argument value.
- Decrease the number of masking operations by decreasing the RandomProjections argument value.
- Decrease the number of iterations by decreasing the MaxIterNum argument value.
- Decrease the number of u_shapelets for clustering by decreasing the ShapeletCutOff argument value.
- Increase the StopThreshold argument value.
Problem: Clustering accuracy is not good enough.
The function completes successfully, but the clustering accuracy is low.
Workarounds:
- Improve the accuracy of the saxification step, in any of the following ways:
- Decrease the SaxWindowSize argument value.
- Decrease the SaxOutputFrequency argument value.
- Increase the SaxSymbolsPerWindow argument value.
- Increase the number of masking operations by increasing the RandomProjections argument value.
- Increase the number of iterations by decreasing the MaxIterNum argument value.
- Increase the number of u_shapelets for clustering by decreasing the ShapeletCutOff argument value.
- Decrease the StopThreshold argument value.