Lecture

Discretization: Methods and Techniques

Description

This lecture covers the concept of discretization, which involves converting continuous data into discrete form. The instructor explains unsupervised and supervised discretization methods, such as equal width, equal frequency, and clustering. The lecture also delves into the application of x2 statistics for independence testing in supervised discretization.

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