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metric.c
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metric.c
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/* module contains implementations of the distance function for the
Euclidean, Manhattan, and L_Infinity metric */
extern double fabs(),pow();
/****************************************************************************/
float EuclidDist2(Points,Index,NNQPoint,dimension)
/****************************************************************************/
/* returns the square of the Euclidean distance of Points[Index] and
NNQPoint */
float **Points,*NNQPoint;
int Index,dimension;
{
float dist,d;
int j;
dist=0;
for (j=0; j<dimension; j++) {
d=Points[Index][j]-NNQPoint[j];
dist += d*d;
}
return(dist);
}
/****************************************************************************/
float ManhattDist(Points,Index,NNQPoint,dimension)
/****************************************************************************/
/* returns the manhattan distance between Points[Index] and
NNQPoint */
float **Points,*NNQPoint;
int Index,dimension;
{
float dist,d;
int j;
dist=0;
for (j=0; j<dimension; j++) {
d=Points[Index][j]-NNQPoint[j];
dist = dist + fabs(d);
}
return(dist);
}
/****************************************************************************/
float LInfinityDist(Points,Index,NNQPoint,dimension)
/****************************************************************************/
/* returns the square of the Euclidean distance of Points[Index] and
NNQPoint */
float **Points,*NNQPoint;
int Index,dimension;
{
float dist,d;
int j;
dist=-999999999.0;
for (j=0; j<dimension; j++) {
d=fabs(Points[Index][j]-NNQPoint[j]);
if (dist < d) {
dist = d;
}
}
return(dist);
}
/****************************************************************************/
float LGeneralDist(Points,Index,NNQPoint,dimension,MinkP)
/****************************************************************************/
/* returns the square of the Euclidean distance of Points[Index] and
NNQPoint */
float **Points,*NNQPoint;
int Index,dimension,MinkP;
{
float dist;
int j;
dist=0;
for (j=0; j<dimension; j++) {
dist +=fabs(pow(Points[Index][j]-NNQPoint[j],(float)MinkP));
}
return(pow(dist,1.0/(float)MinkP));
}