Get the total within cluster sum of squares.

Source: R/models.R

If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid" or "xval".

h2o.tot_withinss(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

object

An H2OClusteringModel object.
train

Retrieve the training total within cluster sum of squares
valid

Retrieve the validation total within cluster sum of squares
xval

Retrieve the cross-validation total within 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.tot_withinss(km, train = TRUE)
# }