R: Techniques for Evaluating Clustering

# Techniques for Evaluating Clustering

## Documentation for package ‘Clustering’ version 1.7.10

- DESCRIPTION file

## Help Pages

appClustering | Clustering GUI.
basketball | This data set contains a series of statistics (5 attributes) about 96 basketball players:
best_ranked_external_metrics | Best rated external metrics.
best_ranked_internal_metrics | Best rated internal metrics.
bolts | Data from an experiment on the affects of machine adjustments on the time to count bolts.
clustering | Clustering algorithm.
convert_toOrdinal | Method to convert columns to ordinal.
evaluate_best_validation_external_by_metrics | Evaluates algorithms by measures of dissimilarity based on a metric.
evaluate_best_validation_internal_by_metrics | Evaluates algorithms by measures of dissimilarity based on a metric.
evaluate_validation_external_by_metrics | Evaluate external validations by algorithm.
evaluate_validation_internal_by_metrics | Evaluate internal validations by algorithm.
export_file_external | Export result of external metrics in latex.
export_file_internal | Export result of internal metrics in latex.
plot_clustering | Graphic representation of the evaluation measures.
result_external_algorithm_by_metric | External results by algorithm.
result_internal_algorithm_by_metric | Internal results by algorithm
sort.clustering | Returns the clustering result sorted by a set of metrics.
stock | The data provided are daily stock prices from January 1988 through October 1991, for ten aerospace companies.
stulong | The study was performed at the 2nd Department of Medicine, 1st Faculty of Medicine of Charles University and Charles University Hospital. The data were transferred to electronic form by the European Centre of Medical Informatics, Statisticsand Epidemiology of Charles University and Academy of Sciences.
transform_dataset | Method for filtering external columns of a dataset.
transform_dataset_internal | Method for filtering internal columns of a dataset.
weather | One of the most known testing data sets in machine learning. This data sets describes several situations where the weather is suitable or not to play sports, depending on the current outlook, temperature, humidity and wind.
[.clustering | Filter metrics in a 'clustering' object returning a new 'clustering' object.