Classification using distance-based segmentation—application to the analysis of EEG signals

The algorithm described in this paper first analyses the trajectory of observations in the space to distinguish observations corresponding to classes from observations corresponding to transition sequences between classes. This first step is called ‘segmentation’ since it arranges data into segments...

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Veröffentlicht in:	Pattern recognition letters 1991, Vol.12 (6), p.327-333
Hauptverfasser:	Escola, H., Poiseau, E., Jobert, M., Gaillard, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Distance-based segmentation EEG Exact sciences and technology hierarchical clustering Pattern recognition. Digital image processing. Computational geometry
Online-Zugang:	Volltext
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