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* [x] K-means
* [x] Affinity Propagation
* [ ] Mean Shift
* [ ] Spectral clustering
* [x] Hierarchical clustering
* [x] DBSCAN
* [ ] HDBSCAN
* [ ] OPTICS
* [ ] BIRCH
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### Describe the feature or idea you want to propose
The algorithm TimeSeriesKernelKMeans in the API reference for clustering does not take KDTW**, A Regularized Dynamic Time Warping Kernel, as a k…
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## **Related Problem & Feature Request**
### **Related Problem**
In the official [**Grid2Op repo**](https://github.com/rte-france/Grid2Op); a Multi-Agent Reinforcement Learning(MARL) example is …
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### Description
_No response_
### Purpose
Improve the range of data types that can be clustered
### Use-case
_No response_
### Is your feature request related to a problem?
Currently mixed cate…
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### Feature Description
Implement a clustering-based retrieval method for RAG pipelines using algorithms like DBSCAN. This feature would cluster document embeddings during indexing and retrieve docum…
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One such project that serves as inspiration uses only core OpenCV filters and functions to cartoonize images and videos. The picture is also compressed using the K-means clustering algorithm. It has t…
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Is there any reason why DBSCAN module lacks of `predict` function compared to other `clustering` models contained here.
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What clustering algorithm this library implements?
What distance between colors/pixels is used to calculate clusters?
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Update SV loading pipeline to support minimal call file. Blocked on clustering algorithm.
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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