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overall variance\n\n\n```r\nvar_reduction(clusterObj)\n```\n\n## Arguments\n\n- `clusterObj`: Object of class kmeans_ClustImpute\n\n## Returns\n\ninteger value typically between 0 and 1\n\n\n\n## Examples\n\n```r\n# Random Dataset\nset.seed(739)\nn <- 750 # numer of points\nnr_other_vars <- 2\nmat <- matrix(rnorm(nr_other_vars*n),n,nr_other_vars)\nme<-4 # mean\nx <- c(rnorm(n/3,me/2,1),rnorm(2*n/3,-me/2,1))\ny <- c(rnorm(n/3,0,1),rnorm(n/3,me,1),rnorm(n/3,-me,1))\ndat <- cbind(mat,x,y)\ndat<- as.data.frame(scale(dat)) # scaling\n\n# Create NAs\ndat_with_miss <- miss_sim(dat,p=.1,seed_nr=120)\n\nres <- ClustImpute(dat_with_miss,nr_cluster=3)\nvar_reduction(res)\n```"}]}]}]}]}]}],["$","div",null,{"className":"lg:w-1/3 lg:border-l px-1 sm:px-8 pt-8 sm:pt-1","children":[["$","div",null,{"className":"mb-8 space-y-8","children":[["$","a",null,{"href":"/packages/ClustImpute","className":"w-full inline-flex items-center justify-center p-4 text-base font-medium text-gray-600 rounded-lg bg-muted 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