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Were you able to run pandas profiling on the tsfresh output?
Please let me know!
Please read again 1. Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data
And Review of 2. Smart Meter Data Analytics: Applications, Methodologies, and Challenges (load profiling, section IIC)
1. Write your Background and related work using papers 1 & 2 as a starting point and update the literature review. Find papers that present new methods for clustering time series.
2. Use UMAP to visualize clusters using cluster membership generated using the cluster methods described in the paper.
3. Find few more newer clustering methods that can be applied to the data.
- compare k-means, DBscan and HDBscan and FastCluster
- another method to try is Rodriguez, Alex, and Alessandro Laio. "Clustering by fast search and find of density peaks." Science 344.6191 (2014): 1492-1496
- setup and evaluate hyperparamenters for these methods
4. Record computation time to answer the question of how the algorithms can scale for larger datasets. Find the tradeoff between performance and cluster quality.really easy to share with others. Click here ...
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