56 search results - page 1 / 12 » Correlation Clustering with Noisy Input |
SODA
2010
ACM
14 years 2 months ago
2010
ACM
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
ICALP
2009
Springer
14 years 5 months ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
SADM
2008
13 years 4 months ago
2008
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...