Data processing: database and file management or data structures – Database and file access – Preparing data for information retrieval
Reexamination Certificate
2003-03-03
2010-10-05
Cottingham, John R. (Department: 2167)
Data processing: database and file management or data structures
Database and file access
Preparing data for information retrieval
C706S015000
Reexamination Certificate
active
07809726
ABSTRACT:
A computer-implemented method for determining cluster centers in a first data structure, wherein the first data structure comprises a lattice structure of weight vectors that create an approximate representation of a plurality of input data points. The method can include performing a first iterative process for iteratively updating the weight vectors such that they move toward cluster centers; performing a second iterative process for iteratively updating a second data structure utilizing results of the iterative updating of the first data structure; and determining the weight vectors that correspond to cluster centers of the input data points on the basis of the second data structure.
REFERENCES:
patent: 5809490 (1998-09-01), Guiver et al.
patent: 6012058 (2000-01-01), Fayyad et al.
patent: 6226408 (2001-05-01), Sirosh
patent: 6260036 (2001-07-01), Almasi et al.
patent: 6260336 (2001-07-01), Motomura
patent: 6278799 (2001-08-01), Hoffman
patent: 6581058 (2003-06-01), Fayyad et al.
patent: 2001/0032198 (2001-10-01), Pao et al.
Patent Abstracts of Japan, vol. 200, No. 025, Apr. 12, 2001 & JP 2001 229362.
Bezdek et al, “Fuzzy Kohonen Clustering Networks”, IEEE International Conference on fuzzy systems (Cat. No. 92CH3073-4), Mar. 8-12, 1992, pp. 1035-1043.
Lee et al, “An Investigation Into Unsupervised Clustering Techniques”, Proceedings of the IEEE SoutheastCon 2000, Preparing fo the New Millennium, (cat. No. 00CH37105), Apr. 7-9, 2000, pp. 124-130.
Vesanto et al, “Clustering of the Self-Organizing Map”, IEEE Trans. Neural Netw. (USA), May 2000, vol. 11, No. 3, pp. 586-600.
Cottingham John R.
Ditthavong Mori & Steiner, P.C.
Lovel Kimberly
Nokia Corporation
LandOfFree
Mechanism for unsupervised clustering does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Mechanism for unsupervised clustering, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mechanism for unsupervised clustering will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4164534