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The approximate nearest neighbors algorithms (IVF-Flat #652, IVF-PQ) use a balanced k-means implementation. In #652, balanced kmeans is separate implementation from #605. These two implementations sho…
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Why not to use available packages:
- [Clustering.jl](http://github.com/JuliaStats/Clustering.jl) for clustering
- [NearestNeighbors.jl](https://github.com/johnmyleswhite/NearestNeighbors.jl) or [FLANN…
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**Describe the bug**
A cuda error pops up sometimes when running cagra with ivf_pq build_algo.
**Steps/Code to reproduce bug**
Run the following code multiple times (e.g. 5). The code sometimes fai…
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We need to implement a K-Nearest Neighbors (KNN) classifier for the real estate dataset. The classifier should be initialized with n_neighbors=3, which is the number of neighbors used for classificati…
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- I have a dataset consisting 1000 identities, each with a varying number of face images (minimum 3).
- I also have a trained face recognition model, say ArcFace to which for every single face image …
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Hi,
I wrote a notebook a while back to use Banksy on brain spatial data (from slideseqv2_analysis.ipynb vignette). It worked without any issue, I re run it today and the only result I get is the cl…
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### Describe the workflow you want to enable
In KDTree and BallTree, there is a way to pass in a radius array that queries nearest-neighbors for each sample point for different radii.
- BallTree…
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It seems that changing `k.weight` in RunAzimuth does not influence the results and does not allow to workaround the error in FindWeights function:
`> so1
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Hi Vladimir,
Good job with the plots. I couldn't figure that out. =(
I'm not sure I understood what happened k nearest neighbors part of your homework, but you called it out in your comments. ;-)
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Simple deterministic baselines from geographical information systems (GIS) such as "Inverse Distance Weighting", "K Nearest Neighbors", "Mean of the context y" act as good baselines and sometimes prov…