After ordering the table of membership degrees , i must get the difference
between the first and second coloumns , between the first and second largest
membership degree of object i. This for K=2,K=3,to K.max=6.
This difference is multiplyed by the Crisp silhouette index vector (si). Too
it d
After ordering the table of membership degrees , i must get the difference
between the first and second coloumns , between the first and second largest
membership degree of object i. This for K=2,K=3,to K.max=6.
This difference is multiplyed by the Crisp silhouette index vector (si). Too
it d
I must get an index (fuzzy silhouette), a weighted average. A average the
crisp silhouette for every row (i) s and the weight of each term is
determined by the difference between the membership degrees of corrisponding
object to its first and second best matching fuzzy clusters.
i need the differe
thank you ,you have been very kind
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use 'apply':
> head(x.m)
V2 V3 V4 V5
[1,] 0.66 0.04 0.01 0.30
[2,] 0.02 0.89 0.09 0.00
[3,] 0.06 0.92 0.01 0.01
[4,] 0.07 0.71 0.21 0.01
[5,] 0.10 0.85 0.04 0.01
[6,] 0.91 0.04 0.02 0.02
> x.m.sort <- apply(x.m, 1, sort, decreasing = TRUE)
> head(t(x.m.sort))
[,1] [,2] [,3] [,4]
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