107 search results - page 4 / 22 » Comparison of Combination Methods using Spectral Clustering ... |
104
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DEXA
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. The problems of finding alternative clusterings and avoiding bias have gained popularity over the last years. In this paper we put the focus on the quality of these alter...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
113
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SIGMOD
2011
ACM
14 years 11 days ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...