Welcome to SAX-VSM homepage!
A Java library that implements SAX-VSM algorithm for interpretable time series classification.
(The website's content is inherited from JMotif project. Here are quick links to the source code and the paper).
Here, we discuss algorithms:
Time series discretization steps:
- Z normalization of timeseries
- PAA: Piecewise Aggregate Approximation of time series
- SAX: Symbolic Aggregate Approximation of time series
- Time series discretization via sliding window
- SAX discretization numerosity reduction
Vector space model (VSM):
SAX-VSM algorithm
... and show in action:
SAX-VSM application for:
- Time series characteristic pattern discovery
- Time series classification
- Hierarchical clustering
- Spherical K-Means