Otimização do agrupamento K-Means para o conjunto de dados meteorológicos
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Mas estes algoritmos de agrupamento não são supervisionados, pelo que, por vezes, podem ocorrer impurezas devido a partições desiguais. As impurezas podem ser em termos de dimensão do agrupamento, gama de valores dos dados, desvio-padrão dos valores agrupados, etc.
Por este motivo, é necessário um mecanismo de controlo supervisionado para obter resultados eficazes e precisos. O trabalho apresentado vai na mesma direção para alcançar a eficácia através da implementação da supervisão dinâmica.
No trabalho, implementámos um mecanismo de controlo antes e depois do processo de agrupamento. .
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