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Will there be incremental learning for HDBSCAN in the near future? Seems like a really good feature to have. Currently I'm using incremental hierarchical clustering and I wonder if this can also be do…
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why use hierarchical clustering and canny detection, any ideas behind that?
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> If more than two sets are provided, the mean of all pairwise scores is calculated.
It would be great to be able to get a matrix of pairs, for tasks such as hierarchical clustering and pairwise di…
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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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For enhancing SMS search (Khodadad Circle, railways stations, other stops with close variants).
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I use a custom implementation of [hierarchical bottom-up clustering with complete linkage](https://en.wikipedia.org/wiki/Complete-linkage_clustering) in a private project and I would like to move it t…
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Start by clustering the transformed images with http://scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
Check whether compounds cluster together. Then try com…
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What I find irritating is that the manuscript introduces a new approach GENERAL, which just applies hierarchical clustering. As far as I understand, hierarchical clustering is a well-known, standard, …
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Maybe by showing nested clusters in shades of similar colors.
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## Expected Behavior
I wish to have multiple cluster runs, each with a different value of min-seq-id value. Ideally, the resultant representative form hierarchical subsets, i.e. representative sequ…