4791 search results - page 5 / 959 » Clustering with partial information |
BMCBI
2008
13 years 10 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
DAC
2003
ACM
14 years 10 months ago
2003
ACM
This paper presents a novel partial assignment technique (PAT) that decides which tasks should be assigned to the same resource without explicitly defining assignment of these tas...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
We propose a novel conception language for exploring the results retrieved by several internet search services (like search engines) that cluster retrieved documents. The goal is ...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
This paper considers the problem of clustering a partially observed unweighted graph – i.e. one where for some node pairs we know there is an edge between them, for some others ...