On minimizing sequences for k-centres
Journal of Approximation Theory
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
Stability-based validation of clustering solutions
Neural Computation
Resampling Method for Unsupervised Estimation of Cluster Validity
Neural Computation
A Cluster Validity Approach based on Nearest-Neighbor Resampling
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
The Journal of Machine Learning Research
BIBE '09 Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering
Stability of k-means clustering
COLT'07 Proceedings of the 20th annual conference on Learning theory
A sober look at clustering stability
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Position regularized Support Vector Domain Description
Pattern Recognition
Shaping art with art: morphological analysis for investigating artistic reproductions
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Stability of density-based clustering
The Journal of Machine Learning Research
Is data clustering in adversarial settings secure?
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
A statistical view of clustering performance through the theory of U-processes
Journal of Multivariate Analysis
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A popular method for selecting the number of clusters is based on stability arguments: one chooses the number of clusters such that the corresponding clustering results are "most stable". In recent years, a series of papers has analyzed the behavior of this method from a theoretical point of view. However, the results are very technical and difficult to interpret for non-experts. In this monograph we give a high-level overview about the existing literature on clustering stability. In addition to presenting the results in a slightly informal but accessible way, we relate them to each other and discuss their different implications.