Discretization of Unlabeled Data using RST & Clustering

@inproceedings{Singh2019DiscretizationOU,
  title={Discretization of Unlabeled Data using RST & Clustering},
  author={Girish Kumar Singh and Shrabanti Mandal},
  year={2019}
}
An algorithm can be applied on numerical or continuous attributes as well as on nominal or discrete value. If input to an algorithm required only attributes of nominal or discrete type then continuous attributes of the dataset need to be discretize before applying such algorithm. Discretization method can be of two types namely supervised and unsupervised. Supervised methods of dicretization utilize class labels of the dataset while in unsupervised method class labels are totally disregarded… CONTINUE READING

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