Binning

Used to discretize continous/numerical data sequences.

Equal Width (distance)

Dividing the data into equal sized intervals with a width that can be calculated like this: $\frac{max-min}{N}$

• Outlier can dominate
• Skewed data isn’t handled well

Equal Depth (frequency)

Dividing the data into intervals, each containing approximately the same numper of samples.

• Scales really good
• Managing Categorical Data can be hard

Other Methods

• Histogram Analysis