fclust (version 1.0.1)

PE: Partition entropy

Description

Produces the partition entropy index. The optimal number of cluster k is achieved when the index value is minimized.

Usage

PE (U, b)

Arguments

U

Membership degree matrix

b

Logarithmic base (default: exp(1))

Value

• pe
  Value of the partition entropy index

References

Bezdek J.C., 1981. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, NewYork.

See Also

PC, MPC, SIL, SIL.F, XB, Fclust

Examples

data(Mc)
for (j in 2:(ncol(Mc)-1))
Mc[,j]=Mc[,j]/Mc[,1]
Mc=Mc[,-1]
clust=FKM(Mc[,1:(ncol(Mc)-1)],k=6,m=1.5,stand=1)
pe=PE(clust$U)