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Computer-Implemented Systems And Methods For Variable Clustering In Large Data Sets

  • US 20100153456A1
  • Filed: 12/17/2008
  • Published: 06/17/2010
  • Est. Priority Date: 12/17/2008
  • Status: Active Grant
First Claim
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1. A computer-implemented method for creating a cluster structure from a data set containing a plurality of input variables, comprising:

  • creating global clusters, within a first stage, by computing a similarity matrix from the data set;

    creating, within a second stage, both a global cluster structure and a sub-cluster structure;

    wherein the global cluster structure and the sub-cluster structure are created using a latent variable clustering technique; and

    forming, as output to a computer-readable data store, the cluster structure by combining the created global cluster structure and the created sub-cluster structure.

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