Create evaluation functions for
cvi_evaluators(type = "valid", fuzzy = FALSE, ground.truth = NULL)
A character vector with options supported by
Logical indicating whether to use fuzzy CVIs or not.
A vector that can be coerced to integers used for the calculation of external
CVIs (passed as
Think of this as a factory for
compare_clusterings() that creates functions that can be passed
pick.clus arguments. It is somewhat limited in scope because it depends
on the cluster validity indices available in
cvi() for scoring and performs majority voting
for picking. They always assume that no errors occurred.
The scoring function takes the CVIs that are to be minimized and "inverts" them by taking their
reciprocal so that maximization can be considered uniformly for the purpose of majority voting.
Its ellipsis (
...) is passed to
The picking function returns the best configuration if
FALSE, or a list
with the chosen TSClusters object and the corresponding configuration otherwise.
Refer to the examples in
A list with two functions:
To avoid ambiguity, if this function is used, configurations for both fuzzy and crisp clusterings
should not be provided in the same call to
compare_clusterings(). In such cases the scoring
function may fail entirely, e.g. if it was created with
type = "valid".
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.