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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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| Pubblicato in: | Data Brief |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6931115/ https://ncbi.nlm.nih.gov/pubmed/31890778 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2019.104899 |
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