8776 search results - page 40 / 1756 » Robust Data Clustering |
KDD
2006
ACM
14 years 9 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
NIPS
2007
13 years 10 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
CLEANDB
2006
ACM
14 years 2 months ago
2006
ACM
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to ca...
BMCBI
2007
13 years 8 months ago
2007
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
CVPR
2000
IEEE
14 years 1 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 ...