Comments (2)
It doesn't really count the point itself because the point
given does not necessarily exist in the tree. From the algorithms p.o.v is it more an "accident" that the input point happens to coincide with a point in the tree.
from nearestneighbors.jl.
It doesn't really count the point itself because the point given does not necessarily exist in the tree. From the algorithms p.o.v is it more an "accident" that the input point happens to coincide with a point in the tree.
Thanks for the clarification! I guess the distinction first becomes relevant in my particular use case, where I query points that also exist in the tree.
from nearestneighbors.jl.
Related Issues (20)
- Querying a vector of NaN occasionally results in invalid indices HOT 5
- Bug: BoundsError when skipping all entries HOT 1
- periodic kdtree or balltree HOT 5
- Benchmarking parallel implementation leads to segfaults HOT 2
- No constructor for NNTree HOT 2
- Nearest Neighbors in a very large dataset. HOT 1
- mutual nearest neighbors HOT 3
- [FR] Classifier function
- BallTree and KDTree do not accept Vector{AbstractVector{Float64}} Type. Possible bug. HOT 1
- knn: skipped items output when there is a skip function has always the last index and not 0 index HOT 3
- `nn` lacking docstring HOT 1
- AssertionError in kmedoids alg
- bug: BoundsError when the skip function returns true for all points HOT 3
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- README.md Misleading Custom Metric Documentation
- [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
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from nearestneighbors.jl.