tslearn-team / tslearn-team/tslearn
KShapes, Resumed because of empty cluster
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- Dominant language
- Python
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Description
Describe the bug
KShapes outputs "Resumed because of empty cluster", no clusters found; kmeans finds clusters
To Reproduce
default code with my dataset
Expected behavior
few clusters found
Environment (please complete the following information):
- OS: windows 10
- tslearn version 0.5.2
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the report using the default KShapes code, the reporter's dataset if available, and the stated tslearn 0.5.2 environment. Compare its empty-cluster behavior with kmeans and trace where the “Resumed because of empty cluster” message is emitted. Done means identifying a reproducible cause and confirming that KShapes returns the expected clusters or clearly reports an unsupported input.
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