Execution of Multiple Clustering Algorithm

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_advclust | Advclust package algorithms |

algorithm_amap | amap package algorithms |

algorithm_apcluster | apcluster package algorithms |

algorithm_cluster | cluster package algorithms |

algorithm_clusterr | ClusterR package algorithms |

algorithm_gama | gama 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_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... |

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... |

datasetTest | Dataset with training data. The data is obtained from running... |

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 | Evaluation of the algorithms by measures of dissimilarity. |

evaluate_best_validation_internal_by_metrics | Evaluation of the algorithms by measures of dissimilarity. |

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 |

fuzzy_cm_method | Method that runs the fuzzy.CM algorithm using the Euclidean... |

fuzzy_gg_method | Method that runs the fuzzy.GG algorithm using the Euclidean... |

fuzzy_gk_method | Method that runs the fuzzy.GK algorithm using the Euclidean... |

gama | Method that runs the gama algorithm using the Euclidean... |

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 gama hcluster using the Euclidean metric... |

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_advclust | Metrics of the advclust algorithm |

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_gama | Metrics of the gama algorithm |

measure_package | Method that returns all the measures executed by the package |

measure_pvclust | Metrics of the pvclust algorithm |

metrics | Method that returns the list of used metrics |

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 |

mini_kmeans_method | Method that runs the MiniBatchKmeans algorithm using the... |

mona_method | Method that runs the mona algorithm to make an 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 to make an external or... |

read_file | Method that converts a dataset into a matrix |

recall_metric | Method to calculate the recall |

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_internal_algorithm_by_metric | Method that returns a table with the algorithm and the metric... |

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... |

variation_information_metric | Method to calculate the variation information |

weather | One of the most known testing data sets in machine learning.... |

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