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It computes the matrix containing the smallest and largest kurtoses of data projections as well as the corresponding directions.
optik(data)
data matrix
kurtosis of the projection maximizing kurtosis
projection maximizing kurtosis
direction maximizing kurtosis
kurtosis of the projection minimizing kurtosis
projection minimizing kurtosis
direction minimizing kurtosis
# NOT RUN { data(iris) iris<-data.matrix(iris)#returns the matrix obtained by converting the data frame to numeric mode optik(iris[,1:4])#starting values of the projections with extreme kurtosis # }
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