Man pages for laperez/Clustering
Techniques for Evaluating Clustering
| aggExCluster_euclidean | Method that runs the aggExcluster algorithm using the... |
| agnes_euclidean_method | Method that runs the agnes algorithm using the Euclidean... |
| agnes_manhattan_method | Method that runs the agnes algorithm using the manhattan... |
| algorithm_amap | amap package algorithms |
| algorithm_apcluster | apcluster package algorithms |
| algorithm_cluster | cluster package algorithms |
| algorithm_clusterr | ClusterR package algorithms |
| algorithm_pvclust | pvclust package algorithms |
| algorithms | Method that returns the list of used algorithms |
| algorithms_package | Method that returns all the algorithms executed by the... |
| apclusterK_euclidean | Method that runs the apClusterK algorithm using the Euclidean... |
| apclusterK_manhattan | Method that runs the apclusterK algorithm using the Manhattan... |
| apclusterK_minkowski | Method that runs the apclusterK algorithm using the Minkowski... |
| appClustering | Clustering GUI. |
| basketball | This data set contains a series of statistics (5 attributes)... |
| 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... |
| calculate_best_external_variables_by_metrics | Method that calculates the best rated external metrics. |
| calculate_best_internal_variables_by_metrics | Method that calculates the best rated internal metrics. |
| calculate_best_validation_external_by_metrics | Method that calculates which algorithm and which metric... |
| calculate_best_validation_internal_by_metrics | Method that calculates which algorithm and which metric... |
| calculate_connectivity | Method to calculate the Connectivity |
| calculate_dunn | Method to calculate the dunn. |
| calculate_result | Method that returns the value or variable depending on where... |
| calculate_result_internal | Method that returns the value or variable depending on where... |
| calculate_validation_external_by_metrics | Method that calculates which algorithm behaves best for the... |
| calculate_validation_internal_by_metrics | Method that calculates which algorithm behaves best for the... |
| clara_euclidean_method | Method that runs the clara algorithm using the Euclidean... |
| clara_manhattan_method | Method that runs the clara algorithm using the Manhattan... |
| clustering | Clustering algorithm. |
| connectivity_metric | Method to calculate the connectivity. |
| convert_numeric_matrix | Method that converts a matrix into numerical format. |
| convert_table | Method in charge of creating a table from an array with the... |
| convert_toOrdinal | Method to convert columns to ordinal. |
| daisy_euclidean_method | Method that runs the daisy algorithm using the Euclidean... |
| daisy_gower_method | Method that runs the daisy algorithm using the Gower metric... |
| daisy_manhattan_method | Method that runs the daisy algorithm using the Manhattan... |
| dataframe_by_metrics_evaluation | Method to filter only the external measurement columns |
| detect_definition_attribute | Method in charge of detecting the limit of a dataset header. |
| diana_euclidean_method | Method that runs the diana algorithm using the Euclidean... |
| dunn_metric | Method to calculate the dunn. |
| entropy_formula | Method for calculating entropy. |
| entropy_metric | Method to calculate the entropy. |
| evaluate_all_column_dataset | Method in charge of calculating the average for all datasets... |
| evaluate_best_validation_external_by_metrics | Evaluates algorithms by measures of dissimilarity based on a... |
| evaluate_best_validation_internal_by_metrics | Evaluates algorithms by measures of dissimilarity based on a... |
| evaluate_validation_external_by_metrics | Evaluate external validations by algorithm. |
| evaluate_validation_internal_by_metrics | Evaluate internal validations by algorithm. |
| execute_datasets | Evaluation clustering algorithm. |
| execute_package_parallel | Evaluation clustering algorithm. |
| export_file_external | Export result of external metrics in latex. |
| export_file_internal | Export result of internal metrics in latex. |
| extension_file | Method that return the extension of a file |
| external_validation | Method that applicate differents external metrics about a... |
| fanny_euclidean_method | Method that runs the fanny algorithm using the Euclidean... |
| fanny_manhattan_method | Method that runs the fanny algorithm using the Manhattan... |
| fill_cluster_vector | Method that fill vector |
| fmeasure_metric | Method to calculate the f_measure. |
| fowlkes_mallows_index_metric | Method to calculate the fowlkes and mallows. |
| gmm_euclidean_method | Method that runs the gmm algorithm using the Euclidean metric... |
| gmm_manhattan_method | Method that runs the gmm algorithm using the Manhattan metric... |
| hclust_euclidean | Method that runs the hcluster algorithm using the Euclidean... |
| information_external | Method that returns an array with the external information of... |
| information_internal | Method that returns an array with the internal information of... |
| initializeExternalValidation | Method that return a list of internal validation initialized... |
| initializeInternalValidation | Method that return a list of external validation initialized... |
| internal_validation | Method that applicate differents internal metrics about a... |
| is_External_Metrics | Method that checks for external metrics |
| is_Internal_Metrics | Method that checks for internal metrics |
| kmeans_arma_method | Method that runs the kmeans_arma algorithm using the... |
| kmeans_rcpp_method | Method that runs the kmeans_rcpp algorithm using the... |
| max_value_metric | Method that return max value of metric. |
| measure_amap | Metrics of the amap algorithm |
| measure_apcluster | Metrics of the apcluster algorithm |
| measure_calculate | Method that returns all the measures executed by the package... |
| measure_cluster | Metrics of the cluster algorithm |
| measure_clusterr | Metrics of the ClusterR algorithm |
| measure_package | Method that returns all the measures executed by the package |
| measure_pvclust | Metrics of the pvclust algorithm |
| metrics_calculate | Method in charge of verifying the implemented metrics |
| metrics_external | Method that returns the list of used external metrics |
| metrics_internal | Method that returns the list of used internal metrics |
| metrics_validate | Method that returns the list of used metrics |
| mini_kmeans_method | Method that runs the mini_kmeans algorithm using the... |
| mona_method | Method that runs the mona algorithm using external or... |
| number_columnas_external | Method that returns how many external metrics there are in... |
| number_columnas_internal | Method that returns how many internal metrics there are in... |
| number_variables_dataset | Method that returns the number of variables in a dataset... |
| packages | Method that returns the list of used packages |
| pam_euclidean_method | Method that runs the pam algorithm using the Euclidean metric... |
| pam_manhattan_method | Method that runs the pam algorithm using the Manhattan metric... |
| path_dataset | Method that return a list of files that exists in a directory |
| plot_clustering | Graphic representation of the evaluation measures. |
| precision_metric | Method to calculate the precision. |
| pvclust_correlation_method | Method that runs the pvclust algorithm using the Correlation... |
| pvclust_euclidean_method | Method that runs the pvclust algorithm using the Euclidean... |
| pvpick_method | Method that runs the pvpick algorithm using an external or... |
| read_file | Method that converts a dataset into a matrix |
| recall_metric | Method to calculate the recall. |
| refactorName | Method for refactoring the distance measurement name. |
| resultClustering | Method for filtering clustering results. |
| result_external_algorithm_by_metric | External results by algorithm. |
| result_internal_algorithm_by_metric | Internal results by algorithm |
| row_name_df_external | Method in charge of obtaining those metrics that are external... |
| row_name_df_internal | Method in charge of obtaining those metrics that are internal... |
| show_result_external_algorithm_by_metric | Method that returns a table with the algorithm and the metric... |
| show_result_external_algorithm_group_by_clustering | Method in charge of obtaining a table with the results of the... |
| show_result_internal_algorithm_by_metric | Method that returns a table with the algorithm and the metric... |
| show_result_internal_algorithm_group_by_clustering | Method in charge of obtaining a table with the results of the... |
| silhouette_metric | Method to calculate the silhouette. |
| sort.clustering | Returns the clustering result sorted by a set of metrics. |
| specify_decimal | Method that format a number with four digits |
| stock | The data provided are daily stock prices from January 1988... |
| stulong | The study was performed at the 2nd Department of Medicine,... |
| sub-.clustering | Filter metrics in a 'clustering' object returning a new... |
| transform_dataset | Method for filtering external columns of a dataset. |
| transform_dataset_internal | Method for filtering internal columns of a dataset. |
| variation_information_metric | Method to calculate the variation information. |
| weather | One of the most known testing data sets in machine learning.... |
