An Intuition to K-Means Clustering

K-means clustering is one of the simplest and popular unsupervised machine learning algorithms. Unsupervised algorithms make inferences from data sets using only input vectors without referring to known, or labeled, outcomes. Unsupervised learning allows us to approach problems with little or no idea what our results should look like. Unsupervised algorithms find patterns based only on input data. The technique is useful when we're not quite sure what to look for.