J-score: a robust measure of clustering accuracy

BACKGROUND: Clustering analysis discovers hidden structures in a data set by partitioning them into disjoint clusters. Robust accuracy measures that evaluate the goodness of clustering results are critical for algorithm development and model diagnosis. Common problems of clustering accuracy measures...

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Detalles Bibliográficos
Autores principales: Ahmadinejad, Navid, Chung, Yunro, Liu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495964/
https://www.ncbi.nlm.nih.gov/pubmed/37705621
http://dx.doi.org/10.7717/peerj-cs.1545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495964/
https://www.ncbi.nlm.nih.gov/pubmed/37705621
http://dx.doi.org/10.7717/peerj-cs.1545

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