dmat <- read.csv(text = "0,0.14708019618331958,0.25379467499774966,0.25259357887665446,0.24411040124607417,0.37952218492356554,0.22128441502163412,0.21484977525596705,0.45660763074957084,0.30977361740258297,0.5363408107197073,0.40489626366258386,0.4972366668596603,0.3064613800372366,0.24895048851400128,0.2609645105097838,0.314074088063201,0.3123197830342413,0.45627096900511244,0.2512579526351698,0.24532963098718388,0.5190339711715779,0.4788521132853014,0.2548306722891173,0.3320514371434748,0.36552119504407987
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dmat <- as.matrix(dmat)
a <- KernelKnn::distMat.KernelKnn(
DIST_mat= dmat ,
TEST_indices = 12:26 ,
y= c(1,1,3,3,4,4,5,6,7,7,8),
Levels= letters[1:8] ,
k=2)
b <- KernelKnn::distMat.KernelKnn(
DIST_mat= dmat ,
TEST_indices = 12:26 ,
y= c(1,1,3,3,4,4,5,6,7,7,8),
Levels= letters[1:8] ,
k=2 ,
weights_function = "uniform" )