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Markdown Text - 3.9 KB - MD5: db322fae6f1e0dbd01526ec890c278d2
Descrição do propósito do conjunto de dados e uma visão geral do seu conteúdo
ZIP Archive - 5.4 KB - MD5: 6a6fc5b9e4d6f5a21241e7bd814ea5f6
Script para confecção do mapa com dados da Revisão Sistemática de Literatura
ZIP Archive - 54.3 KB - MD5: 351dc1da2584bb789c0fa8fc4b9cc3a6
Scripts utilizados para o Método Best-Worts Method
ZIP Archive - 22.8 KB - MD5: 158096bcc3953bbd78c07f172e533af5
Scripts utilizados para o MétodoTOPSIS
ZIP Archive - 20.6 KB - MD5: 76e3efa9097ecbff84d3fad5732495a1
Scripts utilizado para o modelo multobjetivo
May 27, 2026
Gaspar, João Pedro Vicente; Carvalho, Marco Antonio Garcia de, 2026, "FSGA-MuRTe: evolutionary feature selection in multi-representational text environments for unsupervised text clustering", https://doi.org/10.25824/redu/XTQQEL, Repositório de Dados de Pesquisa da Unicamp, V1
FSGA-MuRTe (Feature Selection Using Genetic Algorithm in Multi-Representational Text Environments) is an evolutionary framework for unsupervised feature selection in high-dimensional multi-representational text clustering environments. This repository contains the materials assoc...
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