The stationary subspace analysis toolbox

Jan Saputra Müller, Paul Von Bünau, Frank C. Meinecke, Franz J. Király, Klaus Muller

Research output: Contribution to journalArticle

13 Citations (Scopus)

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 languageEnglish
Pages (from-to)3065-3069
Number of pages5
JournalJournal of Machine Learning Research
Volume12
Publication statusPublished - 2011 Oct 1
Externally publishedYes

Fingerprint

Subspace
Algorithm Analysis
Graphical user interfaces
MATLAB
Time series
Graphical User Interface
Java
High-dimensional
Linearly
Line

Keywords

  • Blind source separation
  • Dimensionality reduction
  • Non-stationarities
  • Unsupervised learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering
  • Statistics and Probability

Cite this

Müller, J. S., Von Bünau, P., Meinecke, F. C., Király, F. J., & Muller, K. (2011). The stationary subspace analysis toolbox. Journal of Machine Learning Research, 12, 3065-3069.

The stationary subspace analysis toolbox. / Müller, Jan Saputra; Von Bünau, Paul; Meinecke, Frank C.; Király, Franz J.; Muller, Klaus.

In: Journal of Machine Learning Research, Vol. 12, 01.10.2011, p. 3065-3069.

Research output: Contribution to journalArticle

Müller, JS, Von Bünau, P, Meinecke, FC, Király, FJ & Muller, K 2011, 'The stationary subspace analysis toolbox', Journal of Machine Learning Research, vol. 12, pp. 3065-3069.
Müller JS, Von Bünau P, Meinecke FC, Király FJ, Muller K. The stationary subspace analysis toolbox. Journal of Machine Learning Research. 2011 Oct 1;12:3065-3069.
Müller, Jan Saputra ; Von Bünau, Paul ; Meinecke, Frank C. ; Király, Franz J. ; Muller, Klaus. / The stationary subspace analysis toolbox. In: Journal of Machine Learning Research. 2011 ; Vol. 12. pp. 3065-3069.
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