268 search results - page 16 / 54 » Learning Pairwise Similarity for Data Clustering |
ML
2006
ACM
13 years 7 months ago
2006
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
PRIB
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
ML
2008
ACM
13 years 5 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
GFKL
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...