clu_tune: Clustering Tune
In daltoolbox: Leveraging Experiment Lines to Data Analytics
clu_tune R Documentation
Clustering Tune
Description
Creates an object for tuning clustering models.
This object can be used to fit and optimize clustering algorithms by specifying hyperparameter ranges
Usage
clu_tune(base_model)
Arguments
base_model
base model for tuning
Value
returns a clu_tune object.
Examples
data(iris)
# fit model
model <- clu_tune(cluster_kmeans(k = 0))
ranges <- list(k = 1:10)
model <- fit(model, iris[,1:4], ranges)
model$k
daltoolbox documentation built on Nov. 3, 2024, 9:06 a.m.
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| clu_tune | R Documentation |
Clustering Tune
Description
Creates an object for tuning clustering models. This object can be used to fit and optimize clustering algorithms by specifying hyperparameter ranges
Usage
clu_tune(base_model)
Arguments
base_model |
base model for tuning |
Value
returns a clu_tune object.
Examples
data(iris)
# fit model
model <- clu_tune(cluster_kmeans(k = 0))
ranges <- list(k = 1:10)
model <- fit(model, iris[,1:4], ranges)
model$k
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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