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Discretization
- Three types of attributes
- Nominal—values from an unordered set, e.g., color, profession
- Ordinal—values from an ordered set, e.g., military or academic rank
- Numeric—real numbers, e.g., integer or real numbers
- Discretization: Divide the range of a continuous attribute into intervals
- Interval labels can then be used to replace actual data values
- Reduce data size by discretization
- Supervised vs. unsupervised
- Split (top-down) vs. merge (bottom-up)
- Discretization can be performed recursively on an attribute
- Prepare for further analysis, e.g., classification
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