calculate_validation_external_by_metrics: Method that calculates which algorithm behaves best for the...
In laperez/Clustering: Techniques for Evaluating Clustering
calculate_validation_external_by_metrics R Documentation
Method that calculates which algorithm behaves best for the datasets provided.
Description
Method that calculates which algorithm behaves best for the datasets provided.
Usage
calculate_validation_external_by_metrics(df)
Arguments
df
Data matrix or data frame.
Value
Return a table with the best performing algorithm for the provided
datasets.
laperez/Clustering documentation built on April 23, 2024, 3:41 a.m.
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| calculate_validation_external_by_metrics | R Documentation |
Method that calculates which algorithm behaves best for the datasets provided.
Description
Method that calculates which algorithm behaves best for the datasets provided.
Usage
calculate_validation_external_by_metrics(df)
Arguments
df |
Data matrix or data frame. |
Value
Return a table with the best performing algorithm for the provided datasets.
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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