Get the between cluster sum of squares

Source: R/models.R

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)

Arguments

object

An H2OClusteringModel object.
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

Examples

# 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)
# }