ADCN: An anisotropic density‐based clustering algorithm for discovering spatial point patterns with noise

Density‐based clustering algorithms such as DBSCAN have been widely used for spatial knowledge discovery as they offer several key advantages compared with other clustering algorithms. They can discover clusters with arbitrary shapes, are robust to noise, and do not require prior knowledge (or estim...

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Vydané v:	Transactions in GIS Ročník 22; číslo 1; s. 348 - 369
Hlavní autori:	Mai, Gengchen, Janowicz, Krzysztof, Hu, Yingjie, Gao, Song
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.02.2018
Predmet:	Algorithms Anisotropy Clustering Clusters Density Mathematical models Noise Optics
ISSN:	1361-1682, 1467-9671
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