Redução dimensional de dados de alta dimensão e poucas amostras usando Projection Pursuit

Redução dimensional de dados de alta dimensão e poucas amostras usando Projection Pursuit

Reduzir a dimensão de bancos de dados é um passo importante em processos de reconhecimento de padrões e aprendizagem de máquina. Projection Pursuit (PP) tem emergido como uma técnica relevante para tal fim, a qual busca projeções dos dados em espaços de baixa dimensão onde estruturas interessantes s...

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Bibliographic Details
Main Author:	Espezua Llerena, Soledad
Other Authors:	Maciel, Carlos Dias
Format:	Others
Language:	pt
Published:	Biblioteca Digitais de Teses e Dissertações da USP 2013
Subjects:	Classificação Classification Dados de microarranjo Dimentionality reduction Microarray data Projection Pursuit Redução dimensional
Online Access:	http://www.teses.usp.br/teses/disponiveis/18/18153/tde-10102013-150240/

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