Knee Point Detection on Bayesian Information Criterion

@article{Zhao2008KneePD,
  title={Knee Point Detection on Bayesian Information Criterion},
  author={Qinpei Zhao and Mantao Xu and Pasi Fr{\"a}nti},
  journal={2008 20th IEEE International Conference on Tools with Artificial Intelligence},
  year={2008},
  volume={2},
  pages={431-438}
}
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. Bayesian information criterion (BIC) often serves as a statistical criterion for model selection, which can also be used in solving model-based clustering problems, in particular for determining the number of clusters. Conventionally, a correct number of clusters can be identified as the first decisive local maximum of… CONTINUE READING

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