Introduction
In this post, we will explore two essential techniques in the field of statistics and data analysis: clustering and principal component analysis (PCA). Clustering is a method used to group similar data points together based on their similarity, while PCA is a dimensionality reduction technique that helps us understand the underlying structure of our data.