Cyclic Wave Analysis for Time-Series Clustering
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Documentation for package ‘cyclicwave’ version 0.1.0
Help Pages
| analytic_signal | Analytic Signal |
| a_star_statistic | A-Star Statistic |
| a_statistic | A Statistic |
| best_map | Match Predicted Cluster Labels |
| chord_length | Chord Length Statistic |
| circular_distance_measures | Calculate Circular Distance Measures |
| circ_mean | Circular Mean |
| circ_r | Mean Resultant Length |
| circ_std | Circular Standard Deviation |
| circ_var | Circular Variance |
| 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 |
| M_statistic | M Statistic |
| 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 |