📄 kmeans.h
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struct Kmeans {
Int nn, mm, kk, nchg;
MatDoub data, means;
VecInt assign, count;
Kmeans(MatDoub &ddata, MatDoub &mmeans) : nn(ddata.nrows()), mm(ddata.ncols()),
kk(mmeans.nrows()), data(ddata), means(mmeans), assign(nn), count(kk) {
estep();
mstep();
}
Int estep() {
Int k,m,n,kmin;
Doub dmin,d;
nchg = 0;
for (k=0;k<kk;k++) count[k] = 0;
for (n=0;n<nn;n++) {
dmin = 9.99e99;
for (k=0;k<kk;k++) {
for (d=0.,m=0; m<mm; m++) d += SQR(data[n][m]-means[k][m]);
if (d < dmin) {dmin = d; kmin = k;}
}
if (kmin != assign[n]) nchg++;
assign[n] = kmin;
count[kmin]++;
}
return nchg;
}
void mstep() {
Int n,k,m;
for (k=0;k<kk;k++) for (m=0;m<mm;m++) means[k][m] = 0.;
for (n=0;n<nn;n++) for (m=0;m<mm;m++) means[assign[n]][m] += data[n][m];
for (k=0;k<kk;k++) {
if (count[k] > 0) for (m=0;m<mm;m++) means[k][m] /= count[k];
}
}
};
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