Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Abstract

We describe an interactive way to generate a set of clusters for a given data set. The clustering is done by constructing local histograms, which can then be used to visualize, select, and fine-tune potential cluster candidates. The accompanying algorithm can also generate clusters automatically, allowing for an automatic or semi-automatic clustering… (More)
DOI: 10.1109/ICDM.2002.1184004

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