Navigating Massive Data Sets via Local Clustering

a scalable method for feature extractionand navigation of large data sets by means of local clustering, where clusters are modeled as overlapping neighborhoods.Under the model, intra-cluster association and external differentiation are both assessed in terms of a natural confidence measure.