An Extended DBSCAN Clustering Algorithm

Finding clusters of different densities is a challenging task. DBSCAN “Density-Based Spatial Clustering of Applications with Noise” method has trouble discovering clusters of various densities since it uses a fixed radius. This article proposes an extended DBSCAN for finding clusters of different de...

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Vydané v:	International journal of advanced computer science & applications Ročník 13; číslo 3
Hlavný autor:	Fahim, Ahmed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	West Yorkshire Science and Information (SAI) Organization Limited 2022
Predmet:	Algorithms Cluster analysis Clustering Computer science Datasets Density Neighborhoods Noise Similarity
ISSN:	2158-107X, 2156-5570
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