The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 19, 2013

Filed:

Feb. 11, 2010
Applicants:

Anjali Dange, Orlando, FL (US);

Xia Ying, Orlando, FL (US);

Rudranil Manna, Orlando, FL (US);

Cameron Davies, Winter Garden, FL (US);

Phi Hoang, Kissimmee, FL (US);

Deborah Montague, Orlando, FL (US);

Mark W. Shafer, Orlando, FL (US);

Inventors:

Anjali Dange, Orlando, FL (US);

Xia Ying, Orlando, FL (US);

Rudranil Manna, Orlando, FL (US);

Cameron Davies, Winter Garden, FL (US);

Phi Hoang, Kissimmee, FL (US);

Deborah Montague, Orlando, FL (US);

Mark W. Shafer, Orlando, FL (US);

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

A computer-implemented method for clustering a plurality of observations included in a dataset. The method includes selecting a subset of variables from a set of variables, where each variable in the subset is associated with each observation in the dataset; for each of a first number of times, randomly selecting an initial value for each variable in the subset to generate a seed value set that includes an initial value for each variable in the subset; generating a number of pre-clusters equal to the first number based on a similarity between each observation in the dataset and each of the first number of seed value sets; and applying a hierarchical clustering algorithm to the first number of pre-clusters to derive a second number of clusters.


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