Data Science, Factor Analysis, Data, Machine Learning, Statistics.
variance With this method, you pick the total amount of variance in the dataset you want principal components to encode. Usually these cut-off values are 80% or 90%. Cumulative variance explained by the principal components. If we were to use this method, we have: The first six principal components