- Feature Selection Methods
- Filter Methods
- Wrapper Methods
- Embedded Methods
- Feature Extract Methods
- Clustering Methods
- PCA Methods
- Linear Discriminant Analysis (LDA)
- Other Model-based Methods Such As LOF Scores, etc.
- Feature Selection and Extraction for Serial Data
- Notes and code
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- Optional Reading Assignments
- A Review of feature selection methods
[PDF]
- A monograph of feature extraction
[PDF eBook]
- Documentation of R library{FeatureExtraction}
[PDF]
- Written Assignment (This week's assignment is optional!)
- Pick one or more feature extraction (prefer model-based) method(s) to implement and add the results to your project #2: EDA and Feature Engineering.
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