[Syscussion] Παρουσίαση 16/03

[Nikos Provatas]

Καλησπέρα σας,

Την Παρασκευή 16/03 θα παρουσιάσω το paper με τίτλο

*NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data

*των:

     Alessandro Lulli , Matteo Dell’Amico , Pietro Michiardi , Laura Ricci

το οποίο δημοσιεύτηκε στο vldb του 2016. Το abstract του paper:

We present NG-DBSCAN, an approximate density-based clustering algorithm 
that operates on arbitrary data and any symmetric distance measure. The 
distributed design of our algorithm makes it scalable to very large 
datasets; its approximate nature makes it fast, yet capable of producing 
high quality clustering results. We provide a detailed overview of the 
steps of NG-DBSCAN, together with their analysis. Our results, obtained 
through an extensive experimental campaign with real and synthetic data, 
substantiate our claims about NG-DBSCAN’s performance and scalability.
**
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