| AP_affinity_propagation | Affinity propagation clustering |
| AP_preferenceRange | Affinity propagation preference range |
| center_scale | Function to scale and/or center the data |
| Clara_Medoids | Clustering large applications |
| Cluster_Medoids | Partitioning around medoids |
| cost_clusters_from_dissim_medoids | Compute the cost and clusters based on an input dissimilarity... |
| dietary_survey_IBS | Synthetic data using a dietary survey of patients with... |
| distance_matrix | Distance matrix calculation |
| entropy_formula | entropy formula (used in external_validation function) |
| external_validation | external clustering validation |
| function_interactive | Interactive function for consecutive plots ( using... |
| GMM | Gaussian Mixture Model clustering |
| KMeans_arma | k-means using the Armadillo library |
| KMeans_rcpp | k-means using RcppArmadillo |
| MiniBatchKmeans | Mini-batch-k-means using RcppArmadillo |
| mushroom | The mushroom data |
| Optimal_Clusters_GMM | Optimal number of Clusters for the gaussian mixture models |
| Optimal_Clusters_KMeans | Optimal number of Clusters for Kmeans or Mini-Batch-Kmeans |
| Optimal_Clusters_Medoids | Optimal number of Clusters for the partitioning around... |
| plot_2d | 2-dimensional plots |
| predict_GMM | Prediction function for a Gaussian Mixture Model object |
| predict_KMeans | Prediction function for the k-means |
| predict_MBatchKMeans | Prediction function for Mini-Batch-k-means |
| predict_Medoids | Predictions for the Medoid functions |
| Silhouette_Dissimilarity_Plot | Plot of silhouette widths or dissimilarities |
| silhouette_of_clusters | Silhouette width based on pre-computed clusters |
| soybean | The soybean (large) data set from the UCI repository |
| tryCatch_GMM | tryCatch function to prevent armadillo errors |
| tryCatch_KMEANS_arma | tryCatch function to prevent armadillo errors in KMEANS_arma |
| tryCatch_optimal_clust_GMM | tryCatch function to prevent armadillo errors in... |
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