Computer Programs
NESC9967 RECOG-ORNL.
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NESC9967 RECOG-ORNL.

RECOG-ORNL, Pattern Recognition Data Analysis

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1. NAME OR DESIGNATION OF PROGRAM:  RECOG-ORNL.
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2. COMPUTERS

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Program name Package id Status Status date
RECOG-ORNL NESC9967/02 Tested 09-DEC-2000

Machines used:

Package ID Orig. computer Test computer
NESC9967/02 VAX under VMS VAX under VMS
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3. DESCRIPTION OF PROGRAM OR FUNCTION

RECOG-ORNL, a general-purpose pattern recognition code, is a modification of the RECOG program, written at Lawrence Livermore National Laboratory. RECOG-ORNL contains techniques for preprocessing, analyzing, and displaying data, and for unsupervised and supervised learning. Data preprocessing routines transform the data into useful representations by autocalling, selecting important variables, and/or adding products or transformations of the variables of the data set. Data analysis routines use correlations to evaluate the data and interrelationships among the data. Display routines plot the multidimensional patterns in two dimensions or plot histograms,  patterns, or one variable versus another. Unsupervised learning techniques search for classes contained inherently in the data. Supervised learning techniques use known information about some of the data to generate predicted properties for an unknown set.
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4. METHOD OF SOLUTION:
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5. RESTRICTIONS ON THE COMPLEXITY OF THE PROBLEM:
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6. TYPICAL RUNNING TIME:
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7. UNUSUAL FEATURES OF THE PROGRAM:
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8. RELATED OR AUXILIARY PROGRAMS: RELATED AND AUXILIARY PROGRAMS
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9. STATUS
Package ID Status date Status
NESC9967/02 09-DEC-2000 Tested at NEADB
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10. REFERENCES

- L.A. Cox, Jr., R.H. Pritchard, and C.F. Bender,
  RECOG: A Polyalgorithm for the Analysis of Generalized Data Sets
  An Operator' s Manual,
  UCID-16433 Rev. 1 (April 9, 1975).
NESC9967/02, included references:
- C.L. Begovich, and N.M. Larson:
  A User' s Manual for the Pattern Recognition Code RECOG-ONRL
  ORNL/CSD/TM-21 (May 1977).
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11. HARDWARE REQUIREMENTS: MACHINE REQUIREMENTS
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12. PROGRAMMING LANGUAGE(S) USED
Package ID Computer language
NESC9967/02 FORTRAN-77
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13. OPERATING SYSTEM UNDER WHICH PROGRAM IS EXECUTED:
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14. OTHER PROGRAMMING OR OPERATING INFORMATION OR RESTRICTIONS:
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15. NAME AND ESTABLISHMENT OF AUTHORS

           C. L. Begovich and N. M. Larson
           Oak Ridge National Laboratory
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16. MATERIAL AVAILABLE
NESC9967/02
RECOGH2N.FOR RECOG-ORNL fortran source
RERCOG.INP Sample problem input data
RECOG-IBM.OUT Sample problem output obtained on IBM 360
RECOG-VAX.OUT Sample problem output obtained on VAX
RECOG.INF Information file
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17. CATEGORIES
  • P. General Mathematical and Computing System Routines

Keywords: computer graphics, correlations, data analysis, data processing, learning, pattern recognition.