Pairwise Constraints as Priors in Probabilistic Clustering

1 Pairwise Constraints as Priors in Probabilistic Clustering 11 Zhengdong Lu and Todd K. Leen 1.

[1]  Zhengdong Lu Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach , 2007, AISTATS.

[2]  Raymond J. Mooney,et al.  Integrating constraints and metric learning in semi-supervised clustering , 2004, ICML.

[3]  Haidong Wang,et al.  Discovering molecular pathways from protein interaction and gene expression data , 2003, ISMB.

[4]  Michael I. Jordan,et al.  Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.

[5]  Claire Cardie,et al.  Intelligent Clustering with Instance-Level Constraints , 2002 .

[6]  Anil K. Jain,et al.  Model-based Clustering With Probabilistic Constraints , 2005, SDM.

[7]  David J. Miller,et al.  Mixture Modeling with Pairwise, Instance-Level Class Constraints , 2005, Neural Computation.

[8]  Anil K. Jain,et al.  Clustering with Soft and Group Constraints , 2004, SSPR/SPR.

[9]  Tommi S. Jaakkola,et al.  Tutorial on variational approximation methods , 2000 .

[10]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[11]  Joachim M. Buhmann,et al.  Learning with constrained and unlabelled data , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[12]  Andrew McCallum,et al.  Semi-Supervised Clustering with User Feedback , 2003 .

[13]  Achim G. Hoffmann,et al.  Proceedings of the Nineteenth International Conference on Machine Learning , 2002 .

[14]  James Theiler,et al.  Contiguity-enhanced k-means clustering algorithm for unsupervised multispectral image segmentation , 1997, Optics & Photonics.

[15]  Charles A. Bouman,et al.  A multiscale random field model for Bayesian image segmentation , 1994, IEEE Trans. Image Process..

[16]  Gérard Govaert,et al.  Clustering of Spatial Data by the EM Algorithm , 1997 .

[17]  J. Stroeve,et al.  Onboard Detection of Snow, Ice, Clouds and Other Geophysical Processes Using Kernel Methods , 2003 .

[18]  Tomer Hertz,et al.  Computing Gaussian Mixture Models with EM Using Equivalence Constraints , 2003, NIPS.

[19]  D. Weinshall,et al.  Computing Gaussian Mixture Models with EM using Side-Information , 2003 .

[20]  Arindam Banerjee,et al.  Semi-supervised Clustering by Seeding , 2002, ICML.

[21]  Claire Cardie,et al.  Proceedings of the Eighteenth International Conference on Machine Learning, 2001, p. 577–584. Constrained K-means Clustering with Background Knowledge , 2022 .