268 search results - page 37 / 54 » Learning Pairwise Similarity for Data Clustering |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
COLT
2004
Springer
14 years 1 months ago
2004
Springer
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
VLSISP
2002
13 years 8 months ago
2002
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...