tslearn-team / tslearn-team/tslearn
Bug with Kshape clustering
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- Python
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Description
Hi,
I am using the 'kshape' method in your package.
However, I have met a bug that when the 'n_clusters' is set to a large value, the 'fit_predict' method seems to return wrong results.
For example, in the graph below I have set 'n_clusters' equals to 7,8,9,10 separately, but the number of the unique labels is different from the cluster number I set.
My codes and results are attached.
Please have a look.
Many thanks.
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First steps
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Research direction
Start by reproducing the reported KShape example with n_clusters set to 7, 8, 9, and 10, then inspect the kshape fit_predict entry point and its returned labels. Compare the number of unique labels with the requested cluster count and use the attached graph and code to define the expected behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100