Discretization of continuous attributes (slides)
The discretization consists to transform a continuous attribute into a discrete (ordinal) attribute. The process determines a finite number of intervals from the available values, for which discrete numerical values are assigned. The two main issues of the process are: how to determine the number of intervals; how to determine the cut points. In this slides, we present some discretization methods for the unsupervised and supervised contexts. Keywords : discretization, data preprocessing, chi-merge, mdlpc, equal-frequency, equal-width, clustering, top-down, bottom-up, feature construction Components (Tanagra) : EQFREQ DISC, EQWIDTH DISC, MDLPC, BINARY BINNING, CONT TO DISC Slides : Discretization Tutorials : Tanagra Tutorials, " Discretization of continuous features ", may 2010.