White Box Clustering Algorithm Design

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Documentation for package ‘whiboclustering’ version 0.1.2

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plot.whibo_cluster Plot WhiBo Cluster Representatives
plot_pairs Plot WhiBo Cluster Representatives
predict.whibo_cluster Predict to which Cluster new data belongs
print.whibo_cluster Show White-Box Cluster Algorithm model
summary.whibo_cluster Show White-Box Cluster Algorithm model
wc_assignment General Component for Assignment of data points to Cluster Representatives.
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) distance.
wc_assign_gower Assign data points using Gower distance.
wc_assign_hellinger_numerical Assign data points using Hellinger (numerical version) distance.
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_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 measure
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 measure
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_initialize General Component for Initialization of Cluster Representatives.
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_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_recalculate General Component for Cluster Representative update.
wc_recalculate_types Data frame for possible values of recalculate types.
wc_recalc_geometric_mean Solution for Cluster Representative update which uses Geometric mean.
wc_recalc_harmonic_mean Solution for Cluster Representative update which uses Harmonic mean.
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 Midhinge.
wc_recalc_midrange Solution for Cluster Representative update which uses Midrange.
wc_recalc_online_geometric_mean Solution for Cluster Representative update which uses Online Geometric mean.
wc_recalc_online_harmonic_mean Solution for Cluster Representative update which uses Online Harmonic mean.
wc_recalc_online_mean Solution for Cluster Representative update which uses Online mean.
wc_recalc_online_median Solution for Cluster Representative update which uses Online median.
wc_recalc_online_midhinge Solution for Cluster Representative update which uses Online Midhindge.
wc_recalc_online_midrange Solution for Cluster Representative update which uses Online Midrange.
wc_recalc_online_quadratic_mean Solution for Cluster Representative update which uses Online Quadratic mean.
wc_recalc_online_trimean Solution for Cluster Representative update which uses Online Trimean.
wc_recalc_online_trimmed_mean Solution for Cluster Representative update which uses Online Trimmed mean.
wc_recalc_quadratic_mean Solution for Cluster Representative update which uses Quadratic mean.
wc_recalc_trimean Solution for Cluster Representative update which uses Trimean.
wc_recalc_trimmed_mean Solution for Cluster Representative update which uses Trimmed mean.
whibo_cluster-class As S4 class to represent WhiBo Cluster model
whibo_clustering Find Cluster model using White-Box Cluster Algorithm Design.