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EUROPAR
2001
Springer
15 years 11 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
JMLR
2002
73views more  JMLR 2002»
15 years 6 months ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
IEICET
2010
113views more  IEICET 2010»
15 years 5 months ago
Probabilistic BPRRC: Robust Change Detection against Illumination Changes and Background Movements
This paper presents PrBPRRC (Probabilistic Bipolar Radial Reach Correlation), a change detection method that is robust against illumination changes and background movements. Most ...
Kentaro Yokoi
ESANN
2004
15 years 8 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
ISDA
2008
IEEE
16 years 1 months ago
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering
This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, t...
Rafael Falc, Benoît Depaire, Koen Vanhoof, A...