Paper Info
Title
The Stationary Subspace Analysis Toolbox
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.
Year
DOI
Venue
2011
10.5555/1953048.2078203
Journal of Machine Learning Research
Keywords
Field
DocType
mat file,algorithm linearly,high-dimensional time series,stationary subspace analysis,command line,stationary subspace analysis toolbox,graphical interface guide,graphical user interface,ssa toolbox,comma separated value,ssa algorithm
Dimensionality reduction,MATLAB,Computer science,Toolbox,Comma-Separated Values,Unsupervised learning,Graphical user interface,Artificial intelligence,Blind signal separation,World Wide Web,Pattern recognition,Algorithm,Java
Journal
Volume
ISSN
Citations 
12,
1532-4435
7
PageRank 
References 
Authors
0.55
2
5
Name
Order
Citations
PageRank
Jan Saputra Müller1121.76
Paul Von Bünau230415.80
Frank C. Meinecke344729.21
Franz J. Király45014.98
Klaus-Robert Müller5127561615.17