@article{6333,
  title = {Clustering stability: an overview},
  journal = {Foundations and Trends in Machine Learning},
  abstract = {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 paper 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.},
  volume = {2},
  number = {3},
  pages = {235-274},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = jul,
  year = {2010},
  slug = {6333},
  author = {von Luxburg, U.},
  month_numeric = {7}
}