Dimensionality Reduction, Machine Learning, Machine Learning Ai, Pca Analysis.
distances between data points in a lower-dimensional space. It’s versatile and can be applied to various types of data. 9. Multiple Correspondence Analysis (MCA) MCA is a technique suitable for categorical data, extending the principles of PCA to handle multiple categorical variables. It’s useful