Subtractive clustering for use in analysis of data

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

Reexamination Certificate

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C382S133000

Reexamination Certificate

active

07043500

ABSTRACT:
A data analysis system and/or method, e.g., a data mining/data exploration method, using subtractive clustering is used to explore the similarities and differences between two or more multi-dimensional data sets, e.g., generated using a flow cytometer, an image analysis system, gene expression, or protein microarrays.

REFERENCES:
patent: 5199576 (1993-04-01), Corio et al.
patent: 5204884 (1993-04-01), Leary et al.
patent: 5550058 (1996-08-01), Corio et al.
patent: 5703964 (1997-12-01), Menon et al.
patent: 5804143 (1998-09-01), Leary et al.
patent: 5956634 (1999-09-01), Otterson et al.
patent: 5998212 (1999-12-01), Corio et al.
patent: 6213958 (2001-04-01), Winder
patent: 6260038 (2001-07-01), Martin et al.
patent: 6507669 (2003-01-01), Klassen
patent: 6539391 (2003-03-01), DuMouchel et al.
patent: 6564176 (2003-05-01), Kremliovsky et al.
patent: 2002/0091972 (2002-07-01), Harris et al.
patent: 2003/0199685 (2003-10-01), Pressman et al.
patent: 2004/0111408 (2004-06-01), Caudill et al.
patent: 2106191 (1992-03-01), None
patent: 2107458 (1992-04-01), None
patent: 0 576 583 (1992-03-01), None
patent: 0 924 510 (1992-03-01), None
patent: 6507241 (1992-03-01), None
patent: 6507244 (1992-04-01), None
patent: WO 92/16829 (1992-03-01), None
patent: WO 92/17288 (1992-04-01), None
Chiu, “Method and software for extracting fuzzy classification rules by subtractive clustering”, IEEE 1996, pp. 461-465.
Hung et al, “An easily implemented approach to fuzzy system identification”, IEEE 1999, pp. 492-496.
Tukey, John W., “Exploratory Data Analysis,” Addison-Wesley, Reading, Massachusetts, 1977; 6pgs.
Van den Hove et al., “Multivariate Reconstruction of Lymphocyte Profiles in a Two-Dimensional Graphical Model as a Tool for the Investigation of Lymphocyte Subset Distribution in Health and Disease,”Cytometry,1997;28: 220-227.
Afifi et al.,Computer Aided Multivariate Analysis,Can Nostrand Reinhold, NY 1990: 271-316.
Anderson, T.W.,An Introduction to Multivariate Statistical Analysis,John Wiley and Sons, Inc., New York, 1984: 195-243.
Beck et al., “The Use of Relative Operating Characteristic (ROC) Curves in Test Performance Evaluation,”Arch Path Lab Med,1986; 110:13-20.
Choi, B.C.K., “Slopes of a receiver Operating Characteristic Curve and Likelihood Ratios for a Diagnostic Test,”Am. J. Epidemiology,1998; 148(11): 1127-1132.
Hanley, J.A., “Receiver Operating Characteristic (ROC) Methodology: the State of the Art,”Critical Reviews in Diagnostic Imaging,1989; 29(3): 307-335.
Hokanson et al., “Some Theoretical and Practical Considerations for Multivariate Statistical Cell Classification Useful in Autologous Stem Cell Transplantation and Tumor Cell Purging,”Cytometry,1999; 36: 60-70.
Klecka, “Discriminant Analysis,”Sage University Paper series Quantitative Applications in the Social Sciences;1980: Series 07-019.
Kleinbaum et al., “Applied Regression and Other Multivariate Methods”, PWS-Kent, Boston, MA 1992: 560-594.
Lachenbruch P.A., “Discriminant Analysis”, Hafner Press, New York, NY 1975.
Leary, J.F., “Strategies for Rare Cell Detection and Isolation,”Methods in Cell Biology: Flow Cytometry;1994; 42: 331-358.
Leary et al., “Isolation of Rare Cells by High-Speed Flow Cytometry and High-Resolution Cell Sorting for Subsequent Molecular Characterization-Applications in Prenatal Diagnosis, Breast Cancer and Autologous Bone Marrow Transplantation,” Kluwer Academic Press,Basic and Clinical Applications of Flow Cytometry,Boston, MA 1996a; 271-318.
Leary et al., “New Methods for Detection, Analysis and Isolation of Rare Cell Populations,”SPIE(Journal of the Optical Society of America), 1996b; 2678: 240-253.
Leary et al., “High Speed Cell Classification Systems for Real-Time Data Classification and Cell Sorting,”SPIE(Journal of the Optical Society of America), 1997; 2982: 342-352.
Leary et al., “High Speed Real-Time Data Classification and Cell Sorting Using Discriminant Functions and Probabilities of Misclassification for Stem Cell Enrichment and Tumor Purging,”SPIE(Journal of Optical Society of America), 1998a; 3260: 274-281.
Leary et al., “New High Speed Cell Sorting Methods for Stem Cell Sorting and Breast Cancer Cell Purging,”SPIE(Journal of Optical Society of America), 1998b; 3259: 114-121.
Leary et al., “Real-time Multivariate Statistical Classification of Cells for Flow Cytometry and Cell Sorting: A Data Mining Application for Stem Cell Isolation and Tumor Purging,” Part of the SPIE Conference on Advanced Techniques in Analytical Cytology III, San Jose, CA (Jun. 1999); published inSPIE Optical Diagnostics of Living Cells II:Jun. 1999; 3604: 158-169.
Leary et al., “Application of A Novel Data Mining Technique to Cytometry Data”; Slides shown at Optical Society Meeting on Optical Diagnostics of Living Cells (Jan. 2000).
Leary et al., “Application of New Novel Data Mining Technique to Cytometry Data”SPIE Optical Diagnostics of Living Cells III:Apr. 27, 2000; 3921: 84-89.
Leary et al., “Detection and Isolation of Single Tumor Cells Containing Mutated DNA Sequences”SPIE Proceedings Systems and Technologies for Clinical Diagnostics and Drug Discovery II:1999a; 3603: 93-101.
McLachlan, G.J., “Discriminant Analysis and Statistical Pattern Recognition,” John Wiley and Sons, Inc., New York, NY 1992: 7-9.
Rosenblatt et al., “A Theoretical Basis for Sampling Statistics Appropriate for the Detection and Isolation of Rare Cells Using Flow Cytometry and Cell Sorting,”Cytometry,1997; 26: 1-6.
Tatsuoka, M. M.,Multivariate Analysis: Techniques for Education and Psychological Research,2ndedition, New York, NY 1988: 18-62.
Adriaans et al.,Data Mining,Addison-Wesley, Harlow, England 1994, 88 pgs.
Breiman et al.,Classification and Regression Trees,Wadsworth International Group, Belmont, CA 1984, 370 pgs.
Fayyad et al.,Advances in Knowledge Discovery and Data Mining,The M.I.T. Press, Cambridge, MA 1996, 630 pgs.
Jain et al.,Algorithms for Clustering Data,Prentice Hall, Englewood Cliffs, NJ 1988, 334 pgs.
Jolliffe, I.T.,Principal Component Analysis,Springer-Verlag, New York, NY 1986, 518 pgs.
Kennedy et al.,Solving Data Mining Problems through Pattern Recognition,Prentice Hall, Upper Saddle River, NJ 1998, 400 pgs.
Swets et al.,Evaluation of Diagnostic Systems Methods from Signal Detection Theory,Academic Press in Cognition and Perception, 1982, 138 pgs.
Weiss et al.,Predictive Data Mining: A Practical Guide,Morgan Kaufmann Publishers, Inc. San Francisco, CA, 1998, 242 pgs.

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