Differentiate between the KNN and K-means methods?

Answer»

The difference between the K-Nearest Neighbour and K-Means methods are as below.

KNN	K-means
KNN is supervised learning algorithm which can be used for CLASSIFICATION or REGRESSION purposes. The Classification of nearest K POINTS is done by KNN so that CATEGORY of all points can be easily determined	k-means clustering or method is an unsupervised learning algorithm which can be used for clustering PURPOSE. Here you select K number of clusters and then place each of the data points into those K clusters
The performance of KNN is better if all the data is having same scale	This doesn’t stand true for K-means

Discussion