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Machine Learning/Statistical Analysis: Principal Component Analysis and JMP Implementation

As a multivariate method, principal component analysis mainly converts several highly correlated variables into linearly independent principal components to reduce the dimensionality of data sets. It is often used in many machine learning cases. This video will share how to use JMP for principal component analysis. 

 

 

 

Predictive Modeling and Machine Learning