Internal clustering validation method for ecosystem health identification using passive acoustic monitoring
ABSTRACT : One of the most challenging tasks in unsupervised algorithms is determining the number of clusters, for which Clustering Internal Validity Indices (CIVIs) have been developed. CIVIs are based on metrics such as compactness and separation to evaluate partitions and assist in the quest for...
- Autores:
-
Rendon Hurtado, Nestor David
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/43809
- Acceso en línea:
- https://hdl.handle.net/10495/43809
- Palabra clave:
- Algoritmos (computadores)
Computer algorithms
Agrupamiento de términos
Terms clustering
Emisión acústica
Acoustic emission
Clustering validation indice
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/