Abstract
The Stationary Subspace Analysis (SSA) algorithm linearly factorizes a high-dimensional time series into stationary and non-stationary components. The SSA Toolbox is a platform-independent efficient stand-alone implementation of the SSA algorithm with a graphical user interface written in Java, that can also be invoked from the command line and from Matlab. The graphical interface guides the user through the whole process; data can be imported and exported from comma separated values (CSV) and Matlab's. mat files.
| Original language | English |
|---|---|
| Pages (from-to) | 3065-3069 |
| Number of pages | 5 |
| Journal | Journal of Machine Learning Research |
| Volume | 12 |
| Publication status | Published - 2011 Oct |
| Externally published | Yes |
Keywords
- Blind source separation
- Dimensionality reduction
- Non-stationarities
- Unsupervised learning
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Statistics and Probability
- Artificial Intelligence