masatakashiwagi/analysis-tslearn

Clustering using tslearn for Time Series Data.

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