Comments (2)
KristofferC
commented on July 17, 2024
As long as the triangle inequality is fulfilled it should work in theory. Would have to look at a specific example to say anything more.
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EssamWisam
commented on July 17, 2024
It's been some time for me to remember the details of what I was doing but I think was pointing out that my understanding suggests that ball tree doesn't necessarily work for discrete metrics; however, it is mentioned in the README that it works for all metrics.
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Related Issues (20)
- README.md Misleading Custom Metric Documentation
- Document that `inrangecount` also counts the point itself HOT 2
- [Question] Can you insert new data into an existing KDTree object? HOT 2
- Compilation time issues with very high dimensions HOT 3
- Reverse Cuthill-McKee ordering option HOT 1
- Querying number of distance evaluations HOT 3
- Make datatypes of the KNN results selectable for potentially lower memory overhead
- Add example with `skip` option to documentation HOT 1
- Julia 1.10 is waiting on IO to finish during compilation HOT 3
- It should be possible to make `KDNode` smaller
- KDTree: Wrong results for non-Euclidean metrics
- Cannot build KDTree with Subarrays since v0.4.14 HOT 3
- KDTree with Matrix{ComplexF64} HOT 1
- Can't do `knn` on `AbstractVector{SVector}` HOT 2
- Test benchmarks and have them run on CI
- 1.0 road map HOT 5
- `get_min_distance_sq` seems weird
- Interface for tree traversal / walking of BallTree/KDTree HOT 3
- Trees for integer input data errors now it seems
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