5880 search results - page 262 / 1176 » Data Clustering: A Review |
176
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SAC
2009
ACM
16 years 1 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
184
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ESANN
2008
15 years 8 months ago
2008
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
178
Voted
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
159
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
151
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ICDE
2010
IEEE
16 years 1 months ago
2010
IEEE
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...