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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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Anomaly detectionApache CommonsBIRCHBall tree

Papers overview

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2017
2017
Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data
Spatiotemporal co-occurrence patterns represent subsets of event features that are often located together in space and time… 
2017
2017
Changepoint-based anomaly detection in a core router system
Prognostic diagnosis is desirable for commercial core router systems to ensure early failure prediction and fast error recovery… 
2016
2016
AUTOMATIC ROAD SIGN INVENTORY USING MOBILE MAPPING SYSTEMS
The periodic inspection of certain infrastructure features plays a key role for road network safety and preservation, and for… 
2015
2015
Fuzzy joint points based clustering algorithms for large data sets
2015
2015
Clustering improved grid map registration using the normal distribution transform
Grid map registration is an important field in mobile robotics. Applications in which multiple robots are involved benefit from… 
2015
2015
Fast density-based clustering through dataset partition using graphics processing units
2013
2013
Density-Based Spatiotemporal Clustering Algorithm for Extracting Bursty Areas from Georeferenced Documents
Nowadays, with the increasing attention being paid to social media, a huge number of georeferenced documents, which include… 
2012
2012
Design and evaluation of decentralized online clustering
Ensuring the efficient and robust operation of distributed computational infrastructures is critical, given that their scale and… 
2012
2012
Multi-object tracking at intersections using the cardinalized probability hypothesis density filter
A large percentage of accidents with body injuries in urban areas occur at intersections. Thus, improving safety at intersections… 
2009
2009
V3COCA: An effective clustering algorithm for complicated objects and its application in breast cancer research and diagnosis
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