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...
- 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:
- https://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