Get the between cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training betweenss value is returned. If more than one parameter is set to TRUE, then a named vector of betweenss' are returned, where the names are "train", "valid" or "xval".
h2o.betweenss(object, train = FALSE, valid = FALSE, xval = FALSE)
object | An H2OClusteringModel object. |
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train | Retrieve the training between cluster sum of squares |
valid | Retrieve the validation between cluster sum of squares |
xval | Retrieve the cross-validation between cluster sum of squares |
# NOT RUN { library(h2o) h2o.init() fr <- h2o.importFile("https://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_train.csv") predictors <- c("sepal_len", "sepal_wid", "petal_len", "petal_wid") km <- h2o.kmeans(x = predictors, training_frame = fr, k = 3, nfolds = 3) h2o.betweenss(km, train = TRUE) # }