query: What is pca.components_ in sk-learn?
positive_passages.docid: 7603
positive_passages.text: Relationship between SVD and PCA. How to use SVD to perform PCA?
negative_passages.docid: 70917
negative_passages.text: What's the difference between principal component analysis and multidimensional scaling?
negative_passages.docid: 6206
negative_passages.text: How does centering make a difference in PCA (for SVD and eigen decomposition)?
negative_passages.docid: 70245
negative_passages.text: Why is the eigenvector in PCA taken to be unit norm?
negative_passages.docid: 78385
negative_passages.text: Why with two classes, LDA gives only one dimension?
negative_passages.docid: 93145
negative_passages.text: Can I add several additional variables to my principal component regression?
negative_passages.docid: 129099
negative_passages.text: Where can I read about gamma coefficient in SVM in scikit-learn?
negative_passages.docid: 32234
negative_passages.text: Reference for random forests
negative_passages.docid: 98594
negative_passages.text: One-hot vs dummy encoding in Scikit-learn
negative_passages.docid: 90089
negative_passages.text: Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
negative_passages.docid: 141579
negative_passages.text: Does scikit-learn have forward selection/stepwise regression algorithm?
negative_passages.docid: 86082
negative_passages.text: Interpreting PCA scores
negative_passages.docid: 22551
negative_passages.text: What can cause PCA to worsen results of a classifier?
negative_passages.docid: 118103
negative_passages.text: Does PCA's reconstruction error get reduced with more PCs being used?
negative_passages.docid: 82178
negative_passages.text: Does it make sense to combine PCA and LDA?
negative_passages.docid: 67557
negative_passages.text: Imputation of missing values for PCA
negative_passages.docid: 84446
negative_passages.text: How to project a new vector onto PCA space?