Data Preprocessing : Concepts. Introduction to the
25/11/2019· Dimensionality Reduction. Most real world datasets have a large number of features. For example, consider an image processing problem, we might have to deal with thousands of features, also called as dimensions.As the name suggests, dimensionality reduction aims to reduce the number of features but not simply by selecting a sample of features from the feature set, which is something





































