1241 search results - page 132 / 249 » Robust Bayesian clustering |
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
BIBE
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
SSPR
2004
Springer
14 years 3 months ago
2004
Springer
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
CVPR
2000
IEEE
14 years 2 months ago
2000
IEEE
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
APWEB
2006
Springer
14 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...