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» Adaptive Distance Metric Learning for Clustering
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66
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ICML
2004
IEEE
15 years 10 months ago
Locally linear metric adaptation for semi-supervised clustering
Hong Chang, Dit-Yan Yeung
103
Voted
ICMLC
2005
Springer
15 years 3 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
96
Voted
ICPR
2010
IEEE
15 years 4 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp
PR
2010
156views more  PR 2010»
14 years 7 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
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...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...