Man pages for UBC-MDS/ssgkmeansr
An R package for k-means clustering

calcWitinSSCalculate the total within cluster sum of squared distance
euc_distEuclidean distance between any two points
find_centroidFind the centroid of a cluster
fitCompute k-means clustering
init_centinitalize centroids using random or kmpp
input_preprocessingConvert raw input data to data frame
kmplotVisualize kmeans results
kmppFind the initial centroids using the kmeans++ approach
predictPredict k-means clustering; provide labels for all...
should_stopCheck if converged
UBC-MDS/ssgkmeansr documentation built on May 25, 2019, 1:36 p.m.