OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
ST-DBSCAN: An algorithm for clustering spatial-temporal data
Data & Knowledge Engineering
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
A local-density based spatial clustering algorithm with noise
Information Systems
Proceedings of the 15th international conference on Multimedia
A clustering-based approach for discovering interesting places in trajectories
Proceedings of the 2008 ACM symposium on Applied computing
Digital Footprinting: Uncovering Tourists with User-Generated Content
IEEE Pervasive Computing
Proceedings of the 18th international conference on World wide web
Where Would You Go on Your Next Vacation? A Framework for Visual Exploration of Attractive Places
GEOPROCESSING '10 Proceedings of the 2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services
Mining spatial-temporal clusters from geo-databases
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
On discovering moving clusters in spatio-temporal data
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
Identifying points of interest by self-tuning clustering
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
GoThere: travel suggestions using geotagged photos
Proceedings of the 21st international conference companion on World Wide Web
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Improving location recommendations with temporal pattern extraction
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Mr. Scan: extreme scale density-based clustering using a tree-based network of GPGPU nodes
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
A method of Area of Interest and Shooting Spot Detection using Geo-tagged Photographs
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
Exploration of geo-tagged photos through data mining approaches
Expert Systems with Applications: An International Journal
Short communication: Algorithm to determine ε-distance parameter in density based clustering
Expert Systems with Applications: An International Journal
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The rapid spread of location-based devices and cheap storage mechanisms, as well as fast development of Internet technology, allowed collection and distribution of huge amounts of user-generated data, such as people's movement or geo-tagged photos. These types of data produce new challenges for research in different application domains. In many cases, new algorithms should be devised to better portray the phenomena under investigation. In this paper, we present P-DBSCAN, a new density-based clustering algorithm based on DBSCAN for analysis of places and events using a collection of geo-tagged photos. We thereby introduce two new concepts: (1) density threshold, which is defined according to the number of people in the neighborhood, and (2) adaptive density, which is used for fast convergence towards high density regions. Our approach is demonstrated on the area of Washington, D.C.