8776 search results - page 80 / 1756 » Robust Data Clustering |
109
click to vote
ALT
2009
Springer
16 years 1 months ago
2009
Springer
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
127
Voted
ICDM
2002
IEEE
15 years 9 months ago
2002
IEEE
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
115
Voted
FLAIRS
2004
15 years 6 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
146
Voted
CVPR
2011
IEEE
15 years 1 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...
179
click to vote
CAEPIA
2011
Springer
14 years 4 months ago
2011
Springer
Abstract. In the last years, cluster based retrieval has been demonstrated as an effective tool for both interactive retrieval and pseudo relevance feedback techniques. In this pa...