ENTROPIAS DE SHANNON E RÉNYI APLICADAS AO RECONHECIMENTO DE PADRÕES
Author(s) -
Alysson Ramos Artuso
Publication year - 2012
Publication title -
revista ciatec-upf
Language(s) - English
Resource type - Journals
ISSN - 2176-4565
DOI - 10.5335/ciatec.v3i2.2244
Subject(s) - computer science
This paper presents and discusses the concepts of e ntropy and mutual information in Information Theory applied to pattern recognize, based mainly on the i deas of Shannon and Renyi. Based on the diversity o f application of the theory, as in engineering, stati stics, economics and informatics and the few litera ture in Portuguese, is exposed a way of using the entropy a pplied to the academic researches, with an applicat ion showed for the construction of decision tree. Are a lso discussed similarities and differences with the physical
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