Unsupervised Common Spatial Patterns

Volume: 27, Issue: 10, Pages: 2135 - 2144
Published: Oct 1, 2019
Abstract
The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface (BCI) systems. In the two-class CSP problem, training data are linearly projected onto directions maximizing or minimizing the variance ratio between the two classes. The present contribution proves that kurtosis maximization performs CSP in an unsupervised manner, i.e., with no need for labeled data, when the classes follow...
Paper Details
Title
Unsupervised Common Spatial Patterns
Published Date
Oct 1, 2019
Volume
27
Issue
10
Pages
2135 - 2144
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