sample codes using tslearn. Purpose: clustering for waveform data or time series data. tslearn is one of the Machine Learning libraries based on python. tslearn: https://github.com/rtavenar/tslearn description Waveform clustering is performed on the sample data using the KShape algorithm. The number of clusters must be given as an argument to the algorithm. In this case, we set n_clusters=2 since we know that there are two classes after checking the data in advance. There are several ways to check the number of clusters, but in this case the elbow method was used. Other possible methods are BIC・AIC GAP method Silhouette method Elbow method directory data/: sample dataset for clustering waveform notebook/: jupyter notebook implementing tslearn sample code