Downloads provided by UsageCounts
New in v2: Numpy is now an optional dependency, also to compile the C library (only Cython is required). Small optimizations throughout the C code to improve speed. The consistent use of size_t instead of int allows for larger data structures on 64 bit machines and be more compatible with Numpy. The parallelization is now implemented directly in C (included if OpenMP is installed). The max_dist argument turned out to be similar to Silva and Batista's work on PrunedDTW [7]. The toolbox now implements a version that is equal to PrunedDTW since it prunes more partial distances. Additionally, a use_pruning argument is added to automatically set max_dist to the Euclidean distance, as suggested by Silva and Batista, to speed up the computation (a new method ub_euclidean is available). Support in the C library for multi-dimensional sequences in the dtaidistance.dtw_ndim package.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 89 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts