After clustering, you can scan through each cluster looking for data items that are far away from their cluster mean, indicating an outlier item of some kind. The major weakness of k-means clustering ...

Our Data Science Lab guru explains how to implement the k-means technique for data clustering, or cluster analysis, which is the process of grouping data items so that similar items belong to the same ...