Aligner
AlignerLuckyDtw
Alignment path based on lucky dynamic time warping distance.
This aligner returns the alignment path produced by the lucky time warping distance [1]_. Uses Euclidean distance for multivariate data.
Based on code by Krisztian A Buza’s research group.
Schnellstart
python
from sktime.alignment.lucky import AlignerLuckyDtw
estimator = AlignerLuckyDtw(window=None)Tags
Fähigkeiten
- Distanz: Unterstützt
- Distanzmatrix: Unterstützt
- Reihen ungleicher Länge
Parameter(1)
- window: int, optional (default=None)
- Maximum distance between indices of aligned series, aka warping window. If None, defaults to max(len(ts1), len(ts2)), i.e., no warping window.
Referenzen
- ..[1] Stephan Spiegel, Brijnesh-Johannes Jain, and Sahin Albayrak.
Fast time series classification under lucky time warping distance. Proceedings of the 29th Annual ACM Symposium on Applied Computing. 2014.