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Jenk's natural breaks are a special case of kmeans clustering in 1d. The [kmeans-postgresql](https://github.com/umitanuki/kmeans-postgresql) is a C implementation of kmeans.
Benchmarking shows kmeans…
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Currently i'm building a wasm project that will expose some clustering functionality to the browser.
Questions:
- Do we have grid search functionality? Or should I simply loop over multiple mod…
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# Problem
Currently, the `ndim` parameter allows a user to specify how many dimensions to cluster off of. The present implementation results in taking the first `ndim` elements of each data entry suc…
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I think there were a few other methods of clustering mentioned in class besides kmeans. What are some of them and how are they different than kmeans? Why did we pick kmeans to use in class?
ghost updated
9 years ago
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Hi,
Thanks for sharing great work! I have a question about ```kmeans_centers.npy```.
According to your paper, you use clustering data generated from ImageNet to reduce the computational cost.
```
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Below is a copy of the [issue](https://github.com/JuliaStats/Clustering.jl/issues/219) I opened in the Clustering.jl repo. In the comments of that issue it was [suggested](https://github.com/JuliaStat…
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I see that it was mentioned in the "Clustering/KMeans/KMeans.cs" file, any plans on working on this?
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To get an overview which things we are missing with staying using/being compatible to older Java versions,
and determine the right point of time when its maybe worth to drop one or find a way to work…
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Sometimes I'm getting this error when trying to find Clusters on a Vector2[].
The error points to this line `clusters[clustering[i]][clustersCurIdx[clustering[i]]] = i;`, in the `KMeans` class.
…
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# Summary
# Platform
OS: [Docker container](https://gist.github.com/kisasexypantera94/b5ee95469fd3af6b635be87300dbb741) `nvidia/cuda:11.6.2-devel-ubuntu20.04`
Nvidia: GTX 1060, `Driver…