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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
Spatiotemporal co-occurrence patterns represent subsets of event features that are often located together in space and time… 
2016
2016
The periodic inspection of certain infrastructure features plays a key role for road network safety and preservation, and for… 
2015
2015
Grid map registration is an important field in mobile robotics. Applications in which multiple robots are involved benefit from… 
2015
2015
Efficiently finding and computing statistics about “halos” (regions of high density) are essential analysis steps for N-body… 
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… 
2011
2011
Recommender systems play an important role in online activities by making personalized recommendations to users, as finding what… 
Highly Cited
2007
Highly Cited
2007
The size of the Web and its increase rate made it cumber-some to locate high precision results to a requested piece of…