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ESANN
2004

An informational energy LVQ approach for feature ranking

9 years 11 months ago
An informational energy LVQ approach for feature ranking
Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a weighted LVQ algorithm, called Energy Relevance LVQ (ERLVQ), based on Onicescu's informational energy [10]. ERLVQ is an incremental learning algorithm for supervised classification and feature ranking.
Razvan Andonie, Angel Cataron
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Razvan Andonie, Angel Cataron
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