Man pages for DTWUMI
Imputation of Multivariate Time Series Based on Dynamic Time Warping
| dataDTWUMI | A multivariate times series consisting of three signals as... |
| dot-dist_afbdtw_matrix | Adaptive Feature Based Dynamic Time Warping algorithm for... |
| dot-DTW_threshold_global_multivariate | Global threshold for missing data imputation in multivariate... |
| dot-features_matrix | Feature matrix |
| dot-Finding_similar_window_multivariate | Finding similar windows to a query in multivariate signals |
| dot-Finding_similar_window_multivariate_AFBDTW | Finding similar windows to a query in multivariate signals |
| dot-globalfeatures | Estimating global features of a univariate signal |
| dot-imp_NA_WMA | Imputing small gaps of size 1 < size < gap_size_threshold |
| dot-trapezoid | Trapezoidal membership function |
| DTWUMI_1gap_imputation | Imputation of a large gap based on DTW for multivariate... |
| DTWUMI_imputation | Large gaps imputation based on DTW for multivariate signals |
| imp_1NA | Imputing gaps of size 1 |
| Indexes_size_missing_multi | Indexing gaps size |
