Image Compression with K-means Clustering

We've only seen Supervised learning algorithms in my prior articles. In this post, we will learn about K-means and begin with an example 2D dataset. Following that, we will apply the K-means algorithm to compress images by reducing the number of colors in a picture to only those that are common in that image. In Unsupervised learning, our algorithm will learn from unlabelled data instead from a labelled data. So, what is Unsupervised learning?