Business Intelligence

Unsupervised Static Discretization Methods in Data Mining

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Executive Summary

Discretization of real-valued data is often used as a pre-processing step in many data mining algorithms. This paper reviews some important unsupervised discretization methods among which there are the discretization methods based on clustering. The paper proposes a discretization method based on the k-means clustering algorithm which avoids the O(n log n) time requirement for sorting .

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