Variable Selection for Clustering by Separability Based on Ridgelines Hyangmin Lee

@inproceedings{Li2011VariableSF,
  title={Variable Selection for Clustering by Separability Based on Ridgelines Hyangmin Lee},
  author={Jia Li},
  year={2011}
}
A new variable selection algorithm is developed for clustering based on mode association. In conventional mixture-model-based clustering, each mixture component is treated as one cluster and the separation between clusters is usually measured by the ratio of betweenand within-component dispersion. In this paper, we allow one cluster to contain several components depending on whether they merge into one mode. The extent of separation between clusters is quantified using critical points on the… CONTINUE READING

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