Improvements for determining the number of clusters in k-means for innovation databases in SMEs

The Automatic Clustering using Differential Evolution (ACDE) is one of the grouping methods capable of automatically determining the number of the cluster. However, ACDE continues making use of the strategy manual to determine the activation threshold of k, which affects its performance. In this stu...

Full description

Autores:

amelec, viloria
Pineda Lezama, Omar Bonerge

Tipo de recurso:

Article of journal

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/4834

Acceso en línea:

http://hdl.handle.net/11323/4834
https://repositorio.cuc.edu.co/

Palabra clave:

k-means
automatic clustering
differential evolution
k activation threshold
U-Control Chart
SMEs

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International