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Title: Visualizing Metaclusters
Authors: Smith, Casey
Keywords: metaclustering
Issue Date: 28-May-2008
Abstract: Metaclustering results in many alternate clusterings of a single data set, only a few of which may be useful to a specific user. Examining clusterings often is difficult, and asking a user to search through many different clusterings to find the ones most useful for their purposes usually is not feasible. This brief report describes a method for visualizing metaclusters (groups of similar clusterings) in a single image, making it easier for users to browse and understand the clusterings.
Appears in Collections:Computing and Information Science Technical Reports

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