Clustering : The Craft of Segmentation


Clustering is the unsupervised learning process of segmenting observations, or dataset into number of groups such that data points have more similarity within the groups than those to the data points in other groups. It is one of the most frequently used analytical process. It helps tremendously in finding of homogeneous groups across the dataset. Clustering algorithms uses different measures to check similarity in order to cluster the observations. The type of similarity measure plays an important role in the final cluster formation.

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