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\section{Clusteringwith Mutual Information based metric}  \subsection{Clustering  via LP-based stabilities} Clustering is considered as one of the most fundamental unsupervised learning methods. It consists of finding "natural" sets among the data points. More precisely it consists in gathering the data points which are closest to each other according to a metric or similarly the data points which are most similar to each other according to a similarity measure.