About this document
Binning Methods: Width vs Frequency by MaheshaSisirakumaraKulasekara is a document available to read on EtoBox.
This document discusses different data pre-processing techniques including binning methods, normalization, and attribute summarization. It provides examples and explanations of equal width and equal frequency binning, min-max and z-score normalization, and attribute summarization before and after applying these techniques. The bonus question explains that the number of elements in bins may not be exactly equal after equal frequency binning due to repeating values in the data that can affect bin allocation.
- Author
- MaheshaSisirakumaraKulasekara
- Language
- EN