A similarity-based robust clustering method

@article{Yang2004ASR,
  title={A similarity-based robust clustering method},
  author={Miin-Shen Yang and Kuo-Lung Wu},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2004},
  volume={26},
  pages={434-448}
}
This paper presents an alternating optimization clustering procedure called a similarity-based clustering method (SCM). It is an effective and robust approach to clustering on the basis of a total similarity objective function related to the approximate density shape estimation. We show that the data points in SCM can self-organize local optimal cluster number and volumes without using cluster validity functions or a variance-covariance matrix. The proposed clustering method is also robust to… CONTINUE READING

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