classify_util.h

高斯混合模型的C语言实现

/*
* All questions regarding the software should be addressed to
* 
*       Prof. Charles A. Bouman
*       Purdue University
*       School of Electrical and Computer Engineering
*       1285 Electrical Engineering Building
*       West Lafayette, IN 47907-1285
*       USA
*       [phone]
*       [phone] (fax)
*       email:  [e-mail]
*       http://www.ece.purdue.edu/~bouman
* 
* Copyright (c) 1995 The Board of Trustees of Purdue University.
*
* Permission to use, copy, modify, and distribute this software and its
* documentation for any purpose, without fee, and without written agreement is
* hereby granted, provided that the above copyright notice and the following
* two paragraphs appear in all copies of this software.
*
* IN NO EVENT SHALL PURDUE UNIVERSITY BE LIABLE TO ANY PARTY FOR DIRECT,
* INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
* USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF PURDUE UNIVERSITY HAS
* BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* PURDUE UNIVERSITY SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
* PARTICULAR PURPOSE.  THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS,
* AND PURDUE UNIVERSITY HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT,
* UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
*/

#ifndef CLASSIFY_UTIL_H
#define CLASSIFY_UTIL_H

/* Subroutine in eigen.c */
void eigen(
  double **M,     /* Input matrix */
  double *lambda, /* Output eigenvalues */
  int n           /* Input matrix dimension */
);

void ClassLogLikelihood_init(struct SigSet *S);

int G_ludcmp(double **a, int n, int *indx, double *d);

int invert(
  double **a, /* input/output matrix */
  int      n  /* dimension */
);

void ClassLogLikelihood(
  double *vector, 
  double *ll,        /* log likelihood, ll[class] */
  struct SigSet *S   /* class signatures */
);

void GMM_Subclass_Prob(struct SigSet *S);

#endif /* CLASSIFY_UTIL_H */