Get the total within cluster sum of squares.
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)
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 |
## 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)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.