cluster analysis - K-Means Clustering Time Series Data of Different Length

Question

I have been trying to understand where the "mean" or centroid of each cluster is located after using the k-means algorithm with DTW for time series data of different length.

If you use k-medoids, it is clear where the representative time serie of each cluster is since it is a real existing time serie in the data. But how about in case of k-means?

Key points:

• time series data of different length
• no euclidean distance, but DTW
• where is the location of centroids estimated by k-means? -> question

Thanks in advance.

question from:https://stackoverflow.com/questions/65641757/k-means-clustering-time-series-data-of-different-length

Answer 1

Waitting for answers