Research on Spatial Clustering Algorithm based on Data Mining
نویسندگان
چکیده
منابع مشابه
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Density-based spatial clustering of applications with noise (DBSCAN) is a density-based clustering algorithm that has the characteristics of being able to discover clusters of any shape, effectively distinguishing noise points and naturally supporting spatial databases. DBSCAN has been widely used in the field of spatial data mining. This paper studies the parallelization design and realization...
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ژورنال
عنوان ژورنال: International Journal of Database Theory and Application
سال: 2016
ISSN: 2005-4270,2005-4270
DOI: 10.14257/ijdta.2016.9.12.20