Comments (2)
Hello,
yes, the density factor as described in the paper [1] is currently not implemented. However, we assume that if you use the fit_frame_split
as described in the paper [2], that to some degree different densities over time will also be supported. However, not within the same partitioned frame. A potential solution for this is to simply replace the algorithm in a fork with the HDBSCAN algorithm (link) which is able to capture different densities.
I hope this helps you.
Cheers,
Eren
- Birant, Derya, and Alp Kut. "ST-DBSCAN: An algorithm for clustering spatial–temporal data." Data & Knowledge Engineering 60.1 (2007): 208-221.
- Peca, I., Fuchs, G., Vrotsou, K., Andrienko, N. V., & Andrienko, G. L. (2012). Scalable Cluster Analysis of Spatial Events. In EuroVA@ EuroVis.
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Awesome thanks for the pointers, I am reading them.
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Related Issues (10)
- No issue... Just some questions. HOT 1
- Provide time series before the spatial attributes HOT 1
- Units or metrics HOT 2
- fit_frame_split - ValueError: Length of values does not match length of index HOT 9
- Usage of squareform HOT 1
- ValueError: frame_size, frame_overlap not correctly configured HOT 6
- Using the model for multiple features HOT 1
- wrong when use "st_dbscan.fit_frame_split" HOT 1
- Another distance metric HOT 5
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