U-control chart-based differential evolution clustering for determining the number of clusters in k-Means
Data are critical sources in several organizations and therefore the efficiency of access to it, sharing, extracting information and making use of that information has become an urgent necessity. Currently, data mining is one of the most recognized fields of research and application for carrying out...
- Autores:
-
Rondón, Carlos
Romero-Pérez, Ivon
García Guliany, Jesús
Steffens Sanabria, Ernesto
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10884
- Acceso en línea:
- https://hdl.handle.net/11323/10884
https://repositorio.cuc.edu.co
- Palabra clave:
- Clustering
K-means
Nonsupervised measures
Particle swarm optimization
- Rights
- closedAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)