603 search results - page 2 / 121 » Advances in constrained clustering |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
IFIP
2005
Springer
13 years 10 months ago
2005
Springer
ICPP
2007
IEEE
13 years 11 months ago
2007
IEEE
Performance and power are critical design constraints in today’s high-end computing systems. Reducing power consumption without impacting system performance is a challenge for t...
SIGMOD
2011
ACM
12 years 8 months 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...