Data Science with Python & R: Dimensionality Reduction and Clustering via @DataScienceCtrl

An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster Analysis we can represent in a two-dimensional space data defined in a higher dimensional one while, at the same time, being able to group this data in similar groups or clusters and find hidden relationships in our data.

Great tutorial originally written by Jose A Dianes, PhD and shared via a blog on Data Science Central - definitely one to bookmark and keep.