Feature Discretization with Relevance and Mutual Information Criteria

Feature discretization (FD) techniques often yield adequate and compact representations of the data, suitable for machine learning and pattern recognition problems. These representations usually decrease the training time, yielding higher classification accuracy while allowing for humans to better u...

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Bibliographic Details
Main Author: J. Ferreira, Artur (author)
Other Authors: Figueiredo, Mário A. T. (author)
Format: conferenceObject
Language:eng
Published: 2016
Subjects:
Classification
Feature discretization
Linde-Buzo-Gray
Mutual information
Quantization
Relevance
Supervised learning
Online Access:http://hdl.handle.net/10400.21/6073
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6073

Internet

http://hdl.handle.net/10400.21/6073

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