268 search results - page 17 / 54 » Learning Pairwise Similarity for Data Clustering |
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
UAI
2008
13 years 8 months ago
2008
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
KBS
2006
13 years 7 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...