plus besoin

src/hclustpar.cpp

-/** \file hclustpar.c
- * \brief Parallelized version of hcluster (use distpar routine)
- *   
- *                                                          
- *   \date Created       : 14/11/02 
- *   \date Last Modified : Time-stamp: <2005-10-09 14:30:37 antoine>
- *
- * \author Antoine Lucas.
- */
-
-
-#include <stdlib.h>
-#include <math.h>
-#include "mva.h"
-#include "hclustpar.h"
-#include "hclust_template.h"
-
-

src/hclustpar.h

-
-
-extern "C"
-{
-  /** Paralelized hierarchical clustering
-   * \brief allocate distance matrix execute function R_distancepar, launch 
-   * hclust on this distance matrix, and free memory of distance matrix.
-   * \param x: data nr x nc
-   * \param nr,nc number of row and columns		  
-   * \param membr: member, vector  1:nr		  
-   * \param method  integer -> distance method	  
-   * \param diag integer: if we compute diagonal in distance matrix (usually no)
-   * \param iopt    integer -> link used 
-   * \param nbprocess nb of process for parallelization
-   * \param precision 1: float; 2: double
-   * \param ia, ib   result (merge)			  
-   * \param iorder  result (order)			  
-   * \param crit    result (height)			  
-   * \param result  flag  0 => correct		  
-   *               1 => Pb			  
-   *               2 => Cannot allocate memory 
-   *               3 => Pb with distance matrix
-   */
-  void hclusterpar(double *x, int *nr, int *nc, int *diag, int *method, int *iopt ,int *ia , int *ib,int *iorder,double *crit,double *membr,int *nbprocess,int * precision, int * result);
-
-}