Comments (5)
You can find the PeriodicEuclidean
distance over at Distances.jl. And then you can pass it as the metric argument to the tree constructor here. You'll need to use a BallTree, though, because PeriodicEuclidean is not a Minkowski-type metric.
from nearestneighbors.jl.
In what sense is PeriodicEucledean
not a Minkowski Metric? As it is very similar to the Eucledean
would it not be quite easy to also implement it for KDTree?
from nearestneighbors.jl.
In what sense is
PeriodicEucledean
not a Minkowski Metric? As it is similar to theEucledean
would it not be quite easy to also implement it for KDTree?
Did a quick google search. It seems that for periodic euclidean metric the canonical KD tree structure is not applicable. Nevertheless, as this review indicates there are modified KD Tree structures which can handle periodic boundaries.
from nearestneighbors.jl.
I guess it should be possible https://namdanalyzer.readthedocs.io/en/latest/kdTree/periodic_kdtree.html. I am still learning Julia, do you have an example of using distance.jl with ballTree.
from nearestneighbors.jl.
I guess it should be possible https://namdanalyzer.readthedocs.io/en/latest/kdTree/periodic_kdtree.html. I am still learning Julia, do you have an example of using distance.jl with ballTree.
using NearestNeighbors
using Distances
data = rand(1, 10^4)
r = 0.05
point = rand(1)
balltree = BallTree(data, PeriodicEuclidean([1]))
idxs = inrange(balltree, point, r)
from nearestneighbors.jl.
Related Issues (20)
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- `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
- [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 2
- Make datatypes of the KNN results selectable for potentially lower memory overhead
- Does ball tree work with any metric? HOT 2
- Add example with `skip` option to documentation
- 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}
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from nearestneighbors.jl.