Toward unsupervised correlation preserving discretization

@article{Mehta2005TowardUC,
  title={Toward unsupervised correlation preserving discretization},
  author={Sameep Mehta and Srinivasan Parthasarathy and Hui Yang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2005},
  volume={17},
  pages={1174-1185}
}
Discretization is a crucial preprocessing technique used for a variety of data warehousing and mining tasks. In this paper, we present a novel PCA-based unsupervised algorithm for the discretization of continuous attributes in multivariate data sets. The algorithm leverages the underlying correlation structure in the data set to obtain the discrete intervals and ensures that the inherent correlations are preserved. Previous efforts on this problem are largely supervised and consider only… CONTINUE READING

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