M_statistic             M Statistic
a_star_statistic        A-Star Statistic
a_statistic             A Statistic
analytic_signal         Analytic Signal
best_map                Match Predicted Cluster Labels
chord_length            Chord Length Statistic
circ_mean               Circular Mean
circ_r                  Mean Resultant Length
circ_std                Circular Standard Deviation
circ_var                Circular Variance
circular_distance_measures
                        Calculate Circular Distance Measures
cluster_accuracy        Clustering Accuracy
compare_methods         Compare Feature and Clustering Methods
compute_phase           Instantaneous Phase
davies_bouldin          Davies-Bouldin Index
extract_circular_features
                        Extract Circular Features
find_elbow              Find an Elbow Point
first_difference        First Differences
flatten_with_zones      Flatten Data with Group Labels
label_by_quantile       Create Labels from Quantile Groups
mardia_kurtosis         Mardia Kurtosis
normalize_features      Normalize Feature Columns
plot_clusters_pca       Plot Clusters Using PCA
plot_k_distance         Plot k-Distance Graph
plot_reachability       Plot OPTICS Reachability
power_consumption       Tetouan Power Consumption Data
prepare_features        Prepare a Feature Matrix
rolling_stats           Rolling Statistics
run_dbscan              DBSCAN Clustering
run_optics              OPTICS Clustering
segment_signal          Segment a Signal
select_numeric_columns
                        Select Numeric Columns
steel_industry          Steel Industry Energy Consumption Data
thin_data               Thin a Dataset
wavelet_approx          Multi-Level Wavelet Approximation
wavelet_transform       Single-Level Wavelet Transform
window_moments          Window Summary Statistics
wrap_to_pi              Wrap Angles
