A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time series datasets.
When I implement this method on two-dimension data,why the calculated distance is two columns？
For example when I input
data1:118.9158 38.7927
118.9147 38.7928
data2:118.9158 38.7927
118.9147 38.7928
output: 0 0
why the result is two-dimension instead of 0?
When I implement this method on two-dimension data,why the calculated distance is two columns？ For example when I input data1:118.9158 38.7927 118.9147 38.7928 data2:118.9158 38.7927 118.9147 38.7928 output: 0 0 why the result is two-dimension instead of 0?