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ICPR
2002
IEEE
15 years 11 months ago
A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
Christophe Saint-Jean, Carl Frélicot
CVPR
2008
IEEE
15 years 12 months ago
Robust estimation of gaussian mixtures from noisy input data
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
Shaobo Hou, Aphrodite Galata
JMLR
2002
157views more  JMLR 2002»
14 years 9 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh
ML
2010
ACM
127views Machine Learning» more  ML 2010»
14 years 8 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
ICTAI
2008
IEEE
15 years 4 months ago
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Qinpei Zhao, Mantao Xu, Pasi Fränti