-
List of backends for approximate nearest neighbours (ANN) search:
- [x] `RcppHNSW::RcppHNSW`
- [x] `RcppAnnoy`
- [x] `mlpack` with `lsh`, `knn`, `krann`
- [x] ~~`RANN`~~
- [x] `rnndescent`
-
I'm tempted to implement this to see if it might be useful for NBLAST: [ALL NEAREST NEIGHBOUR CALCULATION BASED ON DELAUNAY GRAPHS](https://arxiv.org/abs/1802.09594) (arXiv)
Have you by any chanc…
-
I am writing to let you know that I have developed a small package called [`blocking`] (https://github.com/ncn-foreigners/blocking) that allows blocking of records based on approximate nearest neighbo…
-
Nearest neighbour algorithms are an item in the roadmap. They're helpful in clustering algorithms, particularly DBSCAN. There are a number of existing implementations of advanced nearest neighbour alg…
-
**Submitting author:** @ergoregion (Neil Butcher)
**Repository:** https://gitlab.com/djsmithbham/cnearest
**Branch with paper.md** (empty if default branch): JOSS-paper
**Version:** 0.0.1
**Editor:** …
-
It could be nice to include a class that encapsulates data augmentation via Nearest Neighbour-inspired algorithms such as SMOTE (Synthetic Minority Over-sampling Technique), ADASYN etc. @tallamjr deve…
-
### Description
The systems shall build a SPANN index on the vectored information, based on the user specified similarity metric, in an automated manner in order to provide accurate results with reas…
-
- Pls do not use sklearn
-
**Is your feature request related to a problem? Please describe.**
The `resample_to_grid` method allows for the resampling of raster data to the MODFLOW grid. Currently supported raster formats are…
-
Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in acquiring all the knowledge to learn about getting involved with K-Nearest Neighbour Algorithm. Tutorial to K-Nearest N…