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...

Full description

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)