Performance Analysis and Architecture of a Clustering Hybrid Algorithm Called FA+GA-DBSCAN Using Artificial Datasets

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a widely used algorithm for exploratory clustering applications. Despite the DBSCAN algorithm being considered an unsupervised pattern recognition method, it has two parameters that must be tuned prior to the clustering process...

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Detalles Bibliográficos
Autores principales: Perafan-Lopez, Juan Carlos, Ferrer-Gregory, Valeria Lucía, Nieto-Londoño, César, Sierra-Pérez, Julián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322930/
https://www.ncbi.nlm.nih.gov/pubmed/35885099
http://dx.doi.org/10.3390/e24070875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322930/
https://www.ncbi.nlm.nih.gov/pubmed/35885099
http://dx.doi.org/10.3390/e24070875

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