int main(int argc, char * argv[])
{
add(2,2);
sub(2,2);
mul(2,2);
add(5,6);
sub(9,7);
mul(9,9);
add(12,13);
sub(10,10);
xyc(10,43);
sub(10,10);
sub(101,110);
}
/*************************************************************************
Simple test 1: ellipsoid in NF-dimensional space.
compare k-means centers with random centers
*************************************************************************/
static void simpletest1(int nvars,
int nc,
int passcount,
bool& converrors,
bool& othererrors,
bool& simpleerrors)
{
int npoints;
int majoraxis;
ap::real_2d_array xy;
ap::real_1d_array tmp;
double v;
int i;
int j;
int info;
ap::real_2d_array c;
ap::integer_1d_array xyc;
int pass;
int restarts;
double ekmeans;
double erandom;
double dclosest;
int cclosest;
npoints = nc*100;
restarts = 5;
passcount = 10;
tmp.setbounds(0, nvars-1);
for(pass = 1; pass <= passcount; pass++)
{
//
// Fill
//
xy.setbounds(0, npoints-1, 0, nvars-1);
majoraxis = ap::randominteger(nvars);
for(i = 0; i <= npoints-1; i++)
{
rsphere(xy, nvars, i);
xy(i,majoraxis) = nc*xy(i,majoraxis);
}
//
// Test
//
kmeansgenerate(xy, npoints, nvars, nc, restarts, info, c, xyc);
if( info<0 )
{
converrors = true;
return;
}
//
// Test that XYC is correct mapping to cluster centers
//
for(i = 0; i <= npoints-1; i++)
{
cclosest = -1;
dclosest = ap::maxrealnumber;
for(j = 0; j <= nc-1; j++)
{
ap::vmove(&tmp(0), &xy(i, 0), ap::vlen(0,nvars-1));
ap::vsub(tmp.getvector(0, nvars-1), c.getcolumn(j, 0, nvars-1));
v = ap::vdotproduct(&tmp(0), &tmp(0), ap::vlen(0,nvars-1));
if( v<dclosest )
{
cclosest = j;
dclosest = v;
}
}
if( cclosest!=xyc(i) )
{
othererrors = true;
return;
}
}
//
// Use first NC rows of XY as random centers
// (XY is totally random, so it is as good as any other choice).
//
// Compare potential functions.
//
ekmeans = 0;
for(i = 0; i <= npoints-1; i++)
{
ap::vmove(&tmp(0), &xy(i, 0), ap::vlen(0,nvars-1));
ap::vsub(tmp.getvector(0, nvars-1), c.getcolumn(xyc(i), 0, nvars-1));
v = ap::vdotproduct(&tmp(0), &tmp(0), ap::vlen(0,nvars-1));
ekmeans = ekmeans+v;
}
erandom = 0;
for(i = 0; i <= npoints-1; i++)
{
dclosest = ap::maxrealnumber;
for(j = 0; j <= nc-1; j++)
{
ap::vmove(&tmp(0), &xy(i, 0), ap::vlen(0,nvars-1));
ap::vsub(&tmp(0), &xy(j, 0), ap::vlen(0,nvars-1));
v = ap::vdotproduct(&tmp(0), &tmp(0), ap::vlen(0,nvars-1));
if( v<dclosest )
{
dclosest = v;
}
}
erandom = erandom+v;
}
if( erandom<ekmeans )
{
simpleerrors = true;
return;
}
}
}
