A COMPARISON OF CLUSTERING BY IMPUTATION AND SPECIAL CLUSTERING ALGORITHMS ON THE REAL INCOMPLETE DATA

The existence of missing values will really inhibit process of clustering. To overcome it, some of scientists have found several solutions. Both of them are imputation and special clustering algorithms. This paper compared the results of clustering by using them in incomplete data. K-means algorith...

Descripción completa

Detalles Bibliográficos

Autores principales:	Ridho Ananda, Atika Ratna Dewi, Nurlaili Nurlaili
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Universitas Indonesia 2020-07-01
Colección:	Jurnal Ilmu Komputer dan Informasi
Materias:	missing value imputation data special clustering methods silhouette index time complexity
Acceso en línea:	https://jiki.cs.ui.ac.id/index.php/jiki/article/view/818
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!