Timeline for How can I select subsets of features using neural network?
Current License: CC BY-SA 4.0
4 events
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| Jul 16 at 12:58 | comment | added | hH1sG0n3 |
PCA is a dimensionality reduction technique. DImensionality reduction is considered part of feature selection and explainability components of dimensionality reduction techniques can also be used for feature importance. "The classes in the sklearn.feature_selection module can be used for feature selection/dimensionality reduction on sample sets [...]" source: scikit-learn.org/stable/modules/feature_selection.html
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| Jul 16 at 11:00 | comment | added | user366312 | Besides, this question is not about dimensionality reduction. This is about feature-selection. Those are related but different concepts. | |
| Jul 16 at 10:58 | comment | added | user366312 | PCA is for clustering. I am using classification. | |
| Jul 16 at 10:46 | history | answered | hH1sG0n3 | CC BY-SA 4.0 |