Man pages for whiboclustering
White Box Clustering Algorithm Design
| plot | Plot WhiBo Cluster Representatives |
| plot_pairs | Plot WhiBo Cluster Representatives |
| predict | Predict to which Cluster new data belongs |
| Show White-Box Cluster Algorithm model | |
| summary | Show White-Box Cluster Algorithm model |
| wc_assign_bhattacharyya_numerical | Assign data points using Bhattacharyya distance. |
| wc_assign_canberra | Assign data points using Canberra distance. |
| wc_assign_chebyshev | Assign data points using Chebyshev distance. |
| wc_assign_correlation | Assign data points using Correlation distance. |
| wc_assign_cosine | Assign data points using Cosine distance. |
| wc_assign_euclidean | Assign data points using Euclidean distance. |
| wc_assign_fidelity_numerical | Assign data points using Fidelity (numerical version)... |
| wc_assign_gower | Assign data points using Gower distance. |
| wc_assign_hellinger_numerical | Assign data points using Hellinger (numerical version)... |
| wc_assign_inner_product | Assign data points using Inner product distance. |
| wc_assign_intersection | Assign data points using intersection distance. |
| wc_assign_kulczynski | Assign data points using Kulczynski distance. |
| wc_assign_lorentzian | Assign data points using Lorentzian distance. |
| wc_assign_manhattan | Assign data points using Manhattan distance. |
| wc_assignment | General Component for Assignment of data points to Cluster... |
| wc_assign_sorensen | Assign data points using Sorensen distance. |
| wc_assign_squared_euclidean | Assign data points using squared Euclidean distance. |
| wc_assign_tanimoto | Assign data points using Tanimoto distance. |
| wc_assign_types | Data frame for possible values of assignment types. |
| wc_assign_whittaker | Assign data points using Whittaker distance. |
| wc_eval_ball_hall | Calculate Ball-Hall internal Cluster evaluation measure |
| wc_eval_banfeld_raftery | Calculate Banfeld-Raftery internal Cluster evaluation measure |
| wc_eval_between_sum_of_squares | Calculate between (Clusters) sum of squares |
| wc_eval_calinski_harabasz | Calculate Calinski-Harabasz internal Cluster evaluation... |
| wc_eval_c_index | Calculate C index internal Cluster evaluation measure |
| wc_eval_davies_bouldin | Calculate Davies-Bouldin internal Cluster evaluation measure |
| wc_eval_det_ratio | Calculate Det ratio internal Cluster evaluation measure |
| wc_eval_dunn | Calculate Dunn index internal Cluster evaluation measure |
| wc_eval_gamma | Calculate Gamma index internal Cluster evaluation measure |
| wc_eval_g_plus | Calculate G+ index internal Cluster evaluation measure |
| wc_eval_silhouette | Calculate Silhouette score internal Cluster evaluation... |
| wc_eval_total_sum_of_squares | Calculate total sum of squares |
| wc_eval_within_sum_of_squares | Calculate within (Cluster) sum of squares |
| wc_eval_xie_beni | Calculate Xie-Beni internal Cluster evaluation measure |
| wc_init_agnes | AGNES Cluster Representatives initialization. |
| wc_init_ccia | CCIA Cluster Representatives initialization. |
| wc_init_diana | DIANA Cluster Representatives initialization. |
| wc_init_forgy | Forgy algorithm Cluster Representatives initialization. |
| wc_initialize | General Component for Initialization of Cluster... |
| wc_init_kkz | KKZ Cluster Representatives initialization. |
| wc_init_kmeansplusplus | K-Means++ Cluster Representatives initialization. |
| wc_init_pca | PCA Cluster Representatives initialization. |
| wc_init_quantile | Quantile Cluster Representatives initialization. |
| wc_init_random | Random Cluster Representatives initialization. |
| wc_init_types | Data frame for possible values of initialization types. |
| wc_init_ward | Ward algorithm Cluster Representatives initialization. |
| wc_normalize | General (Optional) Component for Normalization of data. |
| wc_norm_comprehensive | Comprehensive normalization of data. |
| wc_norm_decimal_scaling | Decimal scaling of data. |
| wc_norm_l1 | l_1 normalization of data. |
| wc_norm_l2 | l_2 normalization of data. |
| wc_norm_linf | l_Inf normalization of data. |
| wc_norm_log | Logarithmic normalization of data. |
| wc_norm_max_min | Max-Min normalization of data. |
| wc_norm_mean | Mean (Max-Min like) normalization of data. |
| wc_norm_no | Ignore normalization of data. |
| wc_norm_non_monotonic | Non-monotonic normalization of data. |
| wc_norm_sigmoid | Sigmoid normalization of data. |
| wc_norm_softmax | Softmax normalization of data. |
| wc_norm_types | Data frame for possible values of normalization types. |
| wc_norm_z | Z transformation of data. |
| wc_recalc_geometric_mean | Solution for Cluster Representative update which uses... |
| wc_recalc_harmonic_mean | Solution for Cluster Representative update which uses... |
| wc_recalc_mean | Solution for Cluster Representative update which uses Mean. |
| wc_recalc_median | Solution for Cluster Representative update which uses Median. |
| wc_recalc_midhinge | Solution for Cluster Representative update which uses... |
| wc_recalc_midrange | Solution for Cluster Representative update which uses... |
| wc_recalc_online_geometric_mean | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_harmonic_mean | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_mean | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_median | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_midhinge | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_midrange | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_quadratic_mean | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_trimean | Solution for Cluster Representative update which uses Online... |
| wc_recalc_online_trimmed_mean | Solution for Cluster Representative update which uses Online... |
| wc_recalc_quadratic_mean | Solution for Cluster Representative update which uses... |
| wc_recalc_trimean | Solution for Cluster Representative update which uses... |
| wc_recalc_trimmed_mean | Solution for Cluster Representative update which uses Trimmed... |
| wc_recalculate | General Component for Cluster Representative update. |
| wc_recalculate_types | Data frame for possible values of recalculate types. |
| whibo_cluster | As S4 class to represent WhiBo Cluster model |
| whibo_clustering | Find Cluster model using White-Box Cluster Algorithm Design. |
