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# K-Nearest Neighbors - Blog - Roman Glushko
K-Nearest Neighbors (a.k.a KNN) is one of the famous machine learning approaches. It's simple, intuitive and useful tool to have in your…
[https://www.ro…
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It would be nice if the KNN weights object also included a distance attribute in addition to neighbors and weights. The weights are all 1, which is not informative. In contrast, distance band weights …
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A simple algorithm has been described in
http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf
bobye updated
9 years ago
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**Is your feature request related to a problem? Please describe.**
The idea is to add scripts related to Machine Learning and Artificial Intelligence algorithms, like K-Nearest Neighbors, so it can h…
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I am currently testing this with a 97940 observation x 218 dimension matrix. Given observations > 20e3, the following statement in **compute_core_distances** is true:
```
if n > 20e3
…
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A very well known classification algorithm for supervised learning.
Users should be able to:
- Choose number of classes
- Choose number of neighbors
- Choose normalization method
- Fine decisi…
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I trained with this command
[K-Nearest Neighbors]
- Using Map prior:
python nn_train_test.py --train_features /media/han/E46A4C3C6A4C0E2C/hsi_ws/argoverse-forecasting/forecasting_features/foreca…
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PaCMAP is such a neat tool, thanks for making it available to the community!
It looks like there may be two bugs in `sample_FP_pair` and `sample_FP_pair_deterministic`. For instance, the loop body …
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This has not been implemented in v20.2.
Jira issue: CRDB-3688