Anshi Sinha
Analytix_labs
Factor Analysis Vs. PCA (Principal Component Analysis)
Principal Component Analysis (PCA) and Factor Analysis (FA) are the two most prominent dimensionality reduction techniques available. Both of these techniques help in minimizing information loss and have some similarities. Yet, they are fundamentally different.
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Uploaded on May 27, 2021
Factor Analysis Vs. PCA (Principal Component Analysis)
Principal Component Analysis (PCA) and Factor Analysis (FA) are the two most prominent dimensionality reduction techniques available. Both of these techniques help in minimizing information loss and have some similarities. Yet, they are fundamentally different.
4
views
0
faves
0
comments
Uploaded on May 27, 2021