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» Experiments in Parallel Clustering with DBSCAN
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EUROPAR
2001
Springer
13 years 9 months ago
Experiments in Parallel Clustering with DBSCAN
We present a new result concerning the parallelisation of DBSCAN, a Data Mining algorithm for density-based spatial clustering. The overall structure of DBSCAN has been mapped to a...
Domenica Arlia, Massimo Coppola
DATAMINE
1999
113views more  DATAMINE 1999»
13 years 4 months ago
A Fast Parallel Clustering Algorithm for Large Spatial Databases
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel
TMM
2008
112views more  TMM 2008»
13 years 4 months ago
Multimodal News Story Clustering With Pairwise Visual Near-Duplicate Constraint
Story clustering is a critical step for news retrieval, topic mining, and summarization. Nonetheless, the task remains highly challenging owing to the fact that news topics exhibit...
Xiao Wu, Chong-Wah Ngo, Alexander G. Hauptmann
KDD
1997
ACM
146views Data Mining» more  KDD 1997»
13 years 9 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 2 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich