The Stationary Subspace Analysis Toolbox, Müller et al., JMLR 12(Oct):3065−3069, 2011.
Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke, Franz J. Király, Klaus-Robert Müller; 12(93):3065−3069, 2011. 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 inter
A Matlab Toolkit for Distance Metric Learning
Liu Yang, Prof. Rong Jin Welcome! This is a Matlab toolkit for distance metric learning, including the implementation of a number of published machine learning algorithms in this area. The first version of this toolkit has been available since Oct. 28, 2007. This toolkit is to provide a collection of baseline methods for distance metric learning research, and to faciliate the usage of these approa
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