# Fine grained analysis of K- mean clustering and where we are using it

K-means is a centroid based algorithm that means points are grouped in a cluster according to the distance(mostly Euclidean) from centroid. Centroid-based Clustering Centroid-based clustering organizes the data into non-hierarchical clusters, in contrast to hierarchical clustering defined below. k-means is the … Continue reading Fine grained analysis of K- mean clustering and where we are using it