Demonstration of K-Means Image Segmentation Algorithm

The image segmentation basically refers to the process of an image vectorized color quantization in which the color palette of an image is reduced to a certain finite quantity of colors.

K-Means clustering is unsupervised machine learning algorithm that aims to partition N observations into K clusters in which each observation belongs to the cluster with the nearest mean. A cluster refers to a collection of data points aggregated together because of certain.