AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
explained variance needed. Typically, you aim to retain a significant portion of the total variance, like 85%. How explained variance is calculated can be found here. 6. Transform the Data Now, we can transform the original data using the eigenvectors: So, if we have m dimensional original n data