COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA

Analysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation. This study evaluates the performance of three imputation methods, namely mean imputation, K-Nearest Neighbors (KNN), and KNN...

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Detalles Bibliográficos

Principais autores:	Mastika Mastika, Titin Siswantining, Alhadi Bustamam
Formato:	Artigo
Idioma:	Inglês
Publicado:	Universitas Diponegoro 2025-10-01
Series:	Media Statistika
Assuntos:	mean absolute error mean squared error normalized root mean squared error gaussian process optimization
Acceso en liña:	https://ejournal.undip.ac.id/index.php/media_statistika/article/view/71825
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