4526 search results - page 137 / 906 » An overview of clustering methods |
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
ICPR
2008
IEEE
14 years 3 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...
MICAI
2007
Springer
14 years 3 months ago
2007
Springer
Among various document clustering algorithms that have been proposed so far, the most useful are those that automatically reveal the number of clusters and assign each target docum...
AUSAI
2006
Springer
14 years 20 days ago
2006
Springer
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...