Method for classifying data using clustering and...

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C707S793000

Reexamination Certificate

active

06907436

ABSTRACT:
A method for classifying data involves receiving a set of training data from a physical process such as a computer network (20). The training data has attribute data and target data. The target data has a class label associated with the attribute data. Dummy clusters are derived from centroid coordinates of the training data associated with the class label (22). Distance measures are determined between the training data and a plurality of clusters which include the dummy clusters (24). Real clusters are created in the plurality of clusters if the training data is closest to a dummy cluster or a cluster having a class label different than the class label associated with the training data (26). A closest match between data to be classified and the plurality of clusters is identified (28) and the data is classified as the class label of the closest match from the plurality of clusters (30).

REFERENCES:
patent: 5598505 (1997-01-01), Austin et al.
patent: 5933522 (1999-08-01), Sugimoto
patent: 6629097 (2003-09-01), Keith
S. Garavaglia, “A heuristic self-organizing map trained using the tanimoto coefficient”, May 4-9, 1998, PP 289-295.
Sunil et al., “An optional algorithm for approximate nearest neighbor searchin” 1994, PP 573-582.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method for classifying data using clustering and... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for classifying data using clustering and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for classifying data using clustering and... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3498106

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.