Comments (1)
Can you post a little more of the code that led to this state? Two things come to mind that could cause this kind of numerical instability: co-located points, where the k-neighbor radius might be 0, and using a high dimension to try to compute an exact density estimate. If it's the former case, you could try adding a very small amount of jitter to the points. If it's the latter, try using a dimension of 1 to get the density estimate order rather than precise estimates - it's all that DeBaCl really needs to compute the tree structure.
If you can post more code, that would be great - without it, it's really hard to know what's going on.
Thanks!
Brian
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Related Issues (16)
- User should be able to get a full branch-wise partition of the data from the LST. HOT 1
- Travis build is failing HOT 1
- Travis badge doesn't update with correct status
- knn density estimate produces overflow error for high-dimensional data HOT 2
- The readme doesn't indicate clearly which Python versions are supported HOT 1
- Package should include a (hidden) version number HOT 1
- Need a better error message for plot color nodes if a node is not valid HOT 1
- Pruning is buggy HOT 1
- Surprising behavior for `get_clusters` with the `first-k` method.
- How to sort nodes based on cluster density HOT 1
- huge memory being used HOT 2
- Hitting overflow issues on sparse data HOT 1
- NetworkXError: SubGraph Views are readonly. Mutations not allowed HOT 3
- geom_tree import error HOT 2
- networkx problem
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