K-means K-means is a prototype-based clustering technique which creates a one-level partitioning of the data objects Specifically, K-means defines a prototype in terms of the centroid of a group of points K-means is typically applied to objects in a continuous n- dimensional space 8/20/2016 PATTERN RECOGNITIONK-means K-means is a prototype-based clustering technique which creates a one-level partitioning of the data objects. Specifically, K-means defines a prototype in terms of the centroid of a group of points. K-means is typically applied to objects in a continuous n￾dimensional space. 8/20/2016 PATTERN RECOGNITION 12