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Discretization by Classification & Correlation Analysis
- Classification (e.g., decision tree analysis)
- Supervised: Given class labels, e.g., cancerous vs. benign
- Using entropy to determine split point (discretization point)
- Top-down, recursive split
- Details to be covered in Chapter 7
- Correlation analysis (e.g., Chi-merge: χ2-based discretization)
- Supervised: use class information
- Bottom-up merge: find the best neighboring intervals (those having similar distributions of classes, i.e., low χ2 values) to merge
- Merge performed recursively, until a predefined stopping condition
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