Clustering mechanism for identifying and grouping of classes in

Details Clustering mechanism for identifying and grouping of classes in Clustering mechanism for identifying and grouping of classes in

1995-08-25

1998-06-09

MacDonald, Allen R.

Data processing: artificial intelligence

Neural network

Structure

706 14, 706904, G06F 1518

Patent

active

057648247

ABSTRACT:
A clustering technique groups manufacturing data in clusters of similar parametric behavior. Each cluster groups data points which satisfy a given criterion of process behavior similarity. These data may be widely separated in time and thus need not form time ordered clusters. The technique operates in multi-dimensional parameter space and can represent process data that is characterized with multiple performance measures. The technique produces a partition of the data into the minimum number of clusters which satisfy the criterion that all data in the grouping are within a given threshold distance from a cluster nucleus. In addition, the clustering mechanism according the invention is computationally rapid.

REFERENCES:
patent: 4932065 (1990-06-01), Feldgajer
patent: 5204625 (1993-04-01), Cline et al.
patent: 5255349 (1993-10-01), Thakoor et al.
patent: 5263120 (1993-11-01), Bickel
patent: 5303311 (1994-04-01), Epting et al.
patent: 5325298 (1994-06-01), Gallant
patent: 5329596 (1994-07-01), Sakou et al.
patent: 5396252 (1995-03-01), Kelly
patent: 5430810 (1995-07-01), Saeki
patent: 5465308 (1995-11-01), Hutcheson et al.
patent: 5479523 (1995-12-01), Gaborski et al.
patent: 5506801 (1996-04-01), Tawel
patent: 5530393 (1996-06-01), Guerrieri et al.
patent: 5535128 (1996-07-01), Laube et al.
patent: 5555317 (1996-09-01), Anderson
patent: 5598481 (1997-01-01), Nishikawa et al.
Razaz, A fuzzy c-means clustering placement algorithm, 1993 IEEE international on circuits and systems, pp. 2051-2054, May 6, 1993.
Cheng, A branch and bound clustering algorithm, IEEE transactions on systems, Man and cybernatics, pp. 895-898, May 1995.
Dave et al., Adaptive fuzzy c-shells clustering and detection of elipses, IEEE transactions on neural network, pp. 643-662, Sep. 1992.
Heragu, Group technology and cellular manufacturing, IEEE transactions on systems, Man and cybernatics, pp. 203-215, Feb. 1994.
Swaminathan et al., Decomposition of (0,1) matrices, IEEE transactions on computers, pp. 629-633, May 1994.
Malakooti et al., An unsuoervised neural networks approach for machine part cell design, 1994 IEEE International conference on neural network, pp. 665-670, Jul. 2, 1994.
Taub et al., A symmetric matrix criterion for polynomial root clustering, IEEE transactions on circuits and systems, pp. 243-248, Feb. 1990.
Zhao et al., A novel fuzzy entropy clustering algorithm, Proceedings of the third IEEE conference on fuzzy systems, pp. 636-641, Jun. 29, 1994.

Affiliated with

Also associated with

Rating

Clustering mechanism for identifying and grouping of classes in does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Clustering mechanism for identifying and grouping of classes in , we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Clustering mechanism for identifying and grouping of classes in will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2211402