Per-element concordance between two fuzzy partitions

Usage

fuzzySpotConcordance(P, Q)

Arguments

P: A object coercible to a numeric matrix with membership probability of elements (rows) in clusters (columns)
Q: A object coercible to a numeric matrix with membership probability of elements (rows) in clusters (columns). Must have the same number of rows as P

Value

A numeric vector of concordance scores for each row of P.

Examples

# generate fuzzy partitions:
m1 <- matrix(c(0.95, 0.025, 0.025, 
               0.98, 0.01, 0.01, 
               0.96, 0.02, 0.02, 
               0.95, 0.04, 0.01, 
               0.95, 0.01, 0.04, 
               0.99, 0.005, 0.005, 
               0.025, 0.95, 0.025, 
               0.97, 0.02, 0.01, 
               0.025, 0.025, 0.95), 
               ncol = 3, byrow=TRUE)
m2 <- matrix(c(0.95, 0.025, 0.025,  
               0.98, 0.01, 0.01, 
               0.96, 0.02, 0.02, 
               0.025, 0.95, 0.025, 
               0.02, 0.96, 0.02, 
               0.01, 0.98, 0.01, 
               0.05, 0.05, 0.95, 
               0.02, 0.02, 0.96, 
               0.01, 0.01, 0.98), 
               ncol = 3, byrow=TRUE)
colnames(m1) <- colnames(m2) <- LETTERS[1:3]
fuzzySpotConcordance(m1,m2)
#>        1        2        3        4        5        6        7        8 
#> 0.538750 0.527500 0.535000 0.536250 0.530000 0.526250 0.775625 0.075625 
#>        9 
#> 0.760000