Method and Apparatus for Selecting Clusterings to Classify a Data Set

Citation:

Gary King and Justin Grimmer. 12/13/2016. “Method and Apparatus for Selecting Clusterings to Classify a Data Set.” United States of America 9,519,705 B2 (Patent and Trademark Office). US Copy at http://j.mp/2n5Tf44
Patent641 KB
Method and Apparatus for Selecting Clusterings to Classify a Data Set

Abstract:

In a computer assisted clustering method, a clustering space is generated from fixed basis partitiions that embed the entire space of all possible clusterings. A lower dimensional clustering space is created from the space of all possible clusterings by isometrically embedding the space of all possible clusterings in a lower dimensional Euclidean space. This lower dimensional space is then sampled based on the number of documents in the corpus. Partitions are then developed based on the samples that tessellate the space. Finally, using clusterings representative of these tessellations, a two-dimensional representation for users to explore is created.

Last updated on 12/16/2016