Comments (2)
It does not exist and it is unlikely that it will be added to this package since many optimizations and layout decisions are done based on the number of points in the initial set of points.
As written in the docs:
All trees in NearestNeighbors.jl are static which means that points can not be added or removed from an already created tree.
from nearestneighbors.jl.
Do you believe it is possible, with moderate to low effort, to modify the code myself so that an insert!()
function can be written in a way that is faster than rebuilding the full tree each time?
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
- Is there a reason sqeuclidean distance is not supported? HOT 4
- README.md Misleading Custom Metric Documentation
- Document that `inrangecount` also counts the point itself HOT 2
- Compilation time issues with very high dimensions HOT 3
- Reverse Cuthill-McKee ordering option HOT 1
- Querying number of distance evaluations HOT 2
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from nearestneighbors.jl.