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Related Questions
- How does PCA compare to other dimensionality reduction techniques in high-dimensional data?
- Can PCA handle non-linear relationships between features in high-dimensional data?
- What are the limitations of PCA in dealing with correlated features in high-dimensional data?
- How does PCA perform when the number of features is much larger than the number of samples in high-dimensional data?
- Can PCA be used to identify clusters in high-dimensional data with correlated features?
- What are the effects of feature correlation on the performance of PCA in high-dimensional data?
- How does the choice of PCA implementation (e.g. random projection vs. singular value decomposition) affect its performance in high-dimensional data with correlated features?
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