| Citekey | MaPerkins2003Timeseries |
| Source Code | own |
| Learning type | unsupervised |
| Input dimensionality | univariate |
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We use left-aligned windows to embed the time series into a phase space, because it produces better results.
Right-aligned embedding:
Left-aligned embedding:
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We take the raw scores from the SVM as output instead of aggregated binary labels. The scores are aggregated using
sum().
- numpy
- sklearn