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:
Jan. 06, 2015

Filed:

Apr. 29, 2006
Applicants:

Deepayan Chakrabarti, Mountain View, CA (US);

Shanmugasundaram Ravikumar, Cupertino, CA (US);

Andrew Tomkins, San Jose, CA (US);

Inventors:

Deepayan Chakrabarti, Mountain View, CA (US);

Shanmugasundaram Ravikumar, Cupertino, CA (US);

Andrew Tomkins, San Jose, CA (US);

Assignee:

Yahoo! Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30705 (2013.01); G06K 9/6218 (2013.01);
Abstract

An improved system and method for evolutionary clustering of sequential data sets is provided. A snapshot cost may be determined for representing the data set for a particular clustering method used and may determine the cost of clustering the data set independently of a series of clusterings of the data sets in the sequence. A history cost may also be determined for measuring the distance between corresponding clusters of the data set and the previous data set in the sequence of data sets to determine a cost of clustering the data set as part of a series of clusterings of the data sets in the sequence. An overall cost may be determined for clustering the data set by minimizing the combination of the snapshot cost and the history cost. Any clustering method may be used, including flat clustering and hierarchical clustering.


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