text: Title: [ENH] Spatio-Temporal Clustering algorithms from the Cakmak et al benchmark
  Body: Hey there,
  
  I am working with collective behavioral data. My goal is to cluster agents in space (ST) and time, so as input I have the coordinates of the agents at each time point and as output I want to have the label for each agent and each timestamp of the assignment to the cluster. See the figure for a graphical representation [adopted from 1]:
  
  <img width="527" alt="image" src="https://github.com/user-attachments/assets/d779cfcf-7cf5-4331-a5f5-439057d80401">
  
  [Here is the repository](https://github.com/eren-ck/spatio-temporal-clustering-benchmark) for the paper that implements most of the existing algorithms [2]. [Here is the dataset](https://zenodo.org/records/5495226) for the paper.
  
  **Is your feature request related to a problem? Please describe.**
  Implementation of the ST-clustering models
  
  **Describe the solution you'd like**
  Sktime interface for ST-clustering
  
  **Additional context**
  [This](https://github.com/GISerWang/Spatio-temporal-Clustering) github page may also be relevant. 
  
  **References**
  
  1. Ansari, M. Y., Ahmad, A., Khan, S. S., Bhushan, G., & Mainuddin. (2020). Spatiotemporal clustering: A review. Artificial Intelligence Review, 53(4), 2381–2423. https://doi.org/10.1007/s10462-019-09736-1
  2. Cakmak, E., Plank, M., Calovi, D. S., Jordan, A., & Keim, D. (2021). Spatio-temporal clustering benchmark for collective animal behavior. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, 5–8. https://doi.org/10.1145/3486637.3489487
  
  
  