13 search results - page 1 / 3 » An Adaptive Kernel Method for Semi-supervised Clustering |
AAAI
2012
11 years 7 months ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
PR
2010
13 years 3 months ago
2010
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...