Machine Learning, Unsupervised Learning, Data Science, Artificial Intelligence, Clustering.
Components Analysis and Exploratory Factor Analysis. PCA helps us to identify features in a data set that are most important to a related group of features ultimately allowing us to select the most important features for each grouping of related features. EFA on the other hand shows us the features