| Description: | The data was originally intended for testing whether a clustering algorithm is able to extract smooth subspaces for clustering time series data [1]. There are 3 classes corresponding to which cluster the time series belong to. Each time series contain a continuous subspace spanning over 5 continuous time stamps. - For cluster 1, it is from time stamp 1-5 - For cluster 2, it is from time stamp 6-10 - For cluster 3, it is from time stamp 11-15. The rest of the time series are randomly generated. Data created by Xiaohui Huang et al. (see [1]). Data edited by Hoang Anh Dau. [1] Huang, Xiaohui, et al. "Time series k-means: A new k-means type smooth subspace clustering for time series data." Information Sciences 367 (2016): 1-13. |
