Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

7.6 Fuzzy c-Means Clustering

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dMemTot[ic]=0.0;

}

For each vector (row), we extract the data values and the cur-

rent degree of membership in each of the clusters. From this we

sum the memberships and calculate the proportional degree of the

data space extent based on the membership. This is the nominator

(upper part, for the algebraically challenged) of the center of gravity

calculation.

for(i=0;i<iRows;i++)

{

for(j=0;j<lVarCount;j++)

dX[j]=XFCCtl.dpXFCData[i][j];

for(j=0;j<lCentersCnt;j++)

dMem[j]=XFCCtl.dpXFCDom[i][j];

for(ic=0;ic<lCentersCnt;ic++)

{

dMemTot[ic]+=dMem[ic];

for(k=0;k<lVarCount;k++)

XFCCtl.dpXFCCenters[ic][k]+=dX[k]*dMem[ic];

}

}

To complete the centroid calculation, the nominator of each center

is divided by the sum of the memberships. (For ...