Data on cut-edge for spatial clustering based on proximity graphs

Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity and low inter-cluster similarity. Maximized intra-cluster/within-cluster simil...

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Detalles Bibliográficos
Autores principales: Aksac, Alper, Ozyer, Tansel, Alhajj, Reda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931115/
https://www.ncbi.nlm.nih.gov/pubmed/31890778
http://dx.doi.org/10.1016/j.dib.2019.104899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931115/
https://www.ncbi.nlm.nih.gov/pubmed/31890778
http://dx.doi.org/10.1016/j.dib.2019.104899

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