SpatialCFuzzyMeans: spatial version of the c-mean algorithm
In jejeplusfaim/geoCmeans:

spatial version of the c-mean algorithm

SpatialCFuzzyMeans(
  data,
  nblistw,
  k,
  m,
  alpha,
  maxiter = 500,
  tol = 0.01,
  standardize = TRUE
)

`data`	A dataframe with only numerical variable
`nblistw`	A list.w object describing the neighbours typically produced by the spdep package
`k`	An integer describing the number of cluster to find
`m`	An integer for the fuzzyness degree
`maxiter`	An integer for the maximum number of iteration
`tol`	The tolerance criterion used in the evaluateMatrices function for convergence assessment
`standardize`	A boolean to specify if the variable must be centered and reduce (default = True)

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mat1 <- rbind(c(0.45,0.55),c(0.35,0.65),c(0.8,0.2),c(0.5,0.5),c(0.9,0.1),c(0.7,0.3))
mat2 <- rbind(c(0.45,0.55),c(0.4,0.60),c(0.8,0.2),c(0.45,0.55),c(0.95,0.05),c(0.7,0.3))
evaluateMatrices(mat1,mat2,0.01)