693 search results - page 57 / 139 » Outlier-aware robust clustering |
116
Voted
EDBT
2008
ACM
16 years 20 days ago
2008
ACM
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
101
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
104
Voted
MLDM
2005
Springer
15 years 6 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
We introduce a robust estimator called generalized projection based M-estimator (gpbM) which does not require the user to specify any scale parameters. For multiple inlier structu...
157
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PAMI
2012
13 years 3 months ago
2012
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...