Cluster validity indexes
Performs some cluster validity indexes for choosing the optimal number of clusters k.
Fclust.index (fclust.obj, index, alpha)
fclust.obj |
Object of class |
index |
Cluster validity indexes to select the number of clusters: |
alpha |
Weighting coefficient for the fuzzy silhouette index |
index is not case-sensitive.
out.index |
Vector containing the index values |
Paolo Giordani, Maria Brigida Ferraro, Alessio Serafini
## McDonald's data data(Mc) names(Mc) ## data normalization by dividing the nutrition facts by the Serving Size (column 1) for (j in 2:(ncol(Mc)-1)) Mc[,j]=Mc[,j]/Mc[,1] ## removing the column Serving Size Mc=Mc[,-1] ## fuzzy k-means ## (excluded the factor column Type (last column)) clust=FKM(Mc[,1:(ncol(Mc)-1)],k=6,m=1.5,stand=1) ## cluster validity indexes all.indexes=Fclust.index(clust) ## Xie and Beni cluster validity index XB.index=Fclust.index(clust,'XB')
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