Explaining K-Means Clustering

Today's data comes in all shapes and sizes. NLP data encompasses the written word, time-series data tracks sequential data movement over time (ie. Whichever dataset you possess, you can be sure there is an algorithm ready to decipher its secrets. In this article, we want to cover a clustering algorithm named KMeans which attempts to uncover hidden subgroups hiding in your dataset. Furthermore, we will examine what effects dimension reduction has on the quality of the clusters obtained from KMeans.