e/DBSCAN

Information
has gloss	eng: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jörg Sander and Xiaowei Xu in 1996. It is a density based clustering algorithm because it finds a number of clusters starting from the estimated density distribution of corresponding nodes. DBSCAN is one of the most common clustering algorithms and also most cited in scientific literature.
lexicalization	eng: DBSCAN
instance of	c/Data clustering algorithms

Meaning
Italian
has gloss	ita: Il DBSCAN (Density-Based Spatial Clustering of Applications with Noise) è un metodo di clustering proposto nel 1996, basato sulla densità; esso connette regioni di punti con densità dei medesimi sufficientemente alta.
lexicalization	ita: Dbscan