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DBSCAN

Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, J… 
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Papers overview

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2017
2017
Clustering by fast search and finding of Density Peaks (called as DPC) introduced by Alex Rodriguez and Alessandro Laio attracted… 
2015
2015
Grid map registration is an important field in mobile robotics. Applications in which multiple robots are involved benefit from… 
2014
2014
The task of the SNOW 2014 Data Challenge is to mine Twitter streams to provide journalists a set of headlines and complementary… 
2013
2013
Nowadays, with the increasing attention being paid to social media, a huge number of georeferenced documents, which include… 
2012
2012
Ensuring the efficient and robust operation of distributed computational infrastructures is critical, given that their scale and… 
2012
2012
A large percentage of accidents with body injuries in urban areas occur at intersections. Thus, improving safety at intersections… 
2012
2012
This paper addresses privacy preserving classification for vertically partitioned datasets. We present an approach based on…