An example method comprises receiving a multidimensional data set, receiving a predetermined number of features for a set of landmark features, when a current number of features of the set is less than the predetermined number: for each landmark feature of the set of landmark features, calculate a distance between that particular landmark feature and each non-selected feature that is not within the set, identify a closest non-selected feature to that particular landmark feature, identify a particular closest non-selected feature related to a largest distance among the distances, and adding the particular non-selected feature to the set of landmark features, and if the current number of features of the set of landmark features is equal to or greater than the predetermined number of features for the set of landmark features, then providing identification of at least a subset of features of the set of landmark features.
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