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bio_man bio_man
wrote...
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Posts: 33241
2 years ago
Principal Components Analysis is described as a method of 'dimension reduction'. How does PCA reduce the dimension of a statistical problem? How do you select the reduced dimension for your problem.
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bio_man Authorbio_man
wrote...
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Posts: 33241
2 years ago
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wrote...
2 years ago
Wow! It is the best explanation. I cannot say something except thank you so much. I hope you always healthy and happy
bio_man Author
wrote...
Educator
2 years ago
My pleasure 🙏
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