1. A method, comprising: performing k-means clustering of a dataset having a plurality of points, wherein the performing of the k-means clustering includes partitioning of the dataset into a plurality of clusters; determining closeness of a point of the plurality points to a cluster of the plurality of clusters; performing t-test computation to determine statistical linear relationship between the point and the cluster; and maintaining a current position of the point in the dataset if the point is close to the cluster, and if the point has a statistical linear relationship with the cluster.