Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) (Q826335)
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scientific article; zbMATH DE number 7449951
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) |
scientific article; zbMATH DE number 7449951 |
Statements
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) (English)
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20 December 2021
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dimension reduction
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optimal set of features
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data quality
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high-dimensional datasets
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correlation metrics
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classification accuracy
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run-time
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0.81802356
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0.8166695
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