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1 27 unneback
/***********************************************************************
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sc.h - creates classifiers from feature vectors of examples, as well as
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   classifying example feature vectors.
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Copyright (C) 1991 Dean Rubine
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 1, or (at your option)
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any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program (in ../COPYING); if not, write to the Free
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Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
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***********************************************************************/
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/*
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 single path classifier
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*/
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#ifndef _SC_H_
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#define _SC_H_
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#define MAXSCLASSES     100
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typedef struct sclassifier *sClassifier; /* single feature-vector classifier */
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typedef int                 sClassIndex; /* single feature-vector class index */
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typedef struct sclassdope  *sClassDope;  /* single feature-vector class dope */
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struct sclassdope {
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        char            *name;
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        sClassIndex     number;
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        Vector          average;
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        Matrix          sumcov;
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        int             nexamples;
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};
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struct sclassifier {
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        int             nfeatures;
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        int             nclasses;
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        sClassDope      *classdope;
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        Vector          cnst;   /* constant term of discrimination function */
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        Vector          *w;     /* array of coefficient weights */
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        Matrix          invavgcov; /* inverse covariance matrix */
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};
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sClassifier     sNewClassifier();
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sClassifier     sRead();                /* FILE *f */
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void            sWrite();               /* FILE *f; sClassifier sc; */
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void            sFreeClassifier();      /* sc */
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void            sAddExample();          /* sc, char *classname; Vector y */
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void            sRemoveExample();       /* sc, classname, y */
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void            sDoneAdding();          /* sc */
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sClassDope      sClassify();            /* sc, y */
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sClassDope      sClassifyAD();          /* sc, y, double *ap; double *dp */
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sClassDope      sClassNameLookup();     /* sc, classname */
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double          MahalanobisDistance();  /* Vector v, u; Matrix sigma */
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void            FixClassifier();
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void            sDumpClassifier();
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void            sDistances();
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#endif

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