Feature subspace transformations for enhancing k-means clustering
Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan · 2010
Unsupervised classification typically concerns identifying clusters of similar entities in an unlabeled dataset. Popular methods include clustering based on (i) distance-based metrics between the entities in the feature space (K-Means), and (ii) combinatorial properties in a weighted graph representation of the dataset (Multilevel K-Means).