Use Cases

Real-world applications

Time Series Clustering

Grouping variable-length time series data to identify patterns or clusters using TimeSeriesKMeans.

Time Series Classification

Classifying time series data with models like KNNClassifier or TimeSeriesSVC for predictive analytics.

Distance Metric Computation

Calculating similarity between time series using Dynamic Time Warping for tasks such as anomaly detection.