scikit learn - What is the pca.components_ attribute in sklearn?

Question

I am doing PCA with sklearn library in python. I have seen a lot of questions on StackOverflow about this attribute, but I still not understand what are the 'loadings' typed on these questions. I have a data composed as (x_sample, y_features) (100, 1577), when I compute the PCA on this data it becomes (100,90) (x_sample, y_components (the features reduced)). After I compute the attribute pca.components_, it becomes (90,1577) so in a shape (number_components, original_features). What can I say about this attribute? My goal is to extract some relevant features in unsupervised learning and I want to know if this attribute will be useful. Thank you for your help.

question from:https://stackoverflow.com/questions/65905082/what-is-the-pca-components-attribute-in-sklearn

Answer 1

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