366 search results - page 12 / 74 » Extended Star Clustering Algorithm |
ICPR
2002
IEEE
14 years 11 months ago
2002
IEEE
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
PKDD
2007
Springer
14 years 4 months ago
2007
Springer
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
SDM
2009
SIAM
14 years 7 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
PAKDD
2009
ACM
14 years 7 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...