New answers tagged clustering
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scaling before hierarchical clustering by single and complete linkage
thanks for answering my question.
I have some additional questions that hopefully you can answer. Thx in adv
There is correlation based calculation which is another dissimilarity measure. If we did ...
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scaling before hierarchical clustering by single and complete linkage
Brief Summary
Yes, a wider-range-variable would dominate the single linkage clustering without scaling.
Explanation
The tendency of wider-range-variables to dominate the clustering does not only apply ...
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Solve tough clustering problem with overlapping clusters
The Problem is that many clustering algorithms focus on distances (between points, clusters and so on). Especially at the connection between the two desired clusters, distances between points are ...
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Is there a way to automatically split large clusters that are greater than some maximum number of points?
There isn't a max cluster size parameter for HDBSCAN.
What I would suggest is trying to work with the other parameters. For example tweaking min_samples or ...
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How to run AgglomerativeClustering on a big data in python?
Counterintuitively, using a precomputed distance matrix (metric="precomputed") reduces runtime.
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Text Classification Taking too long
If you have a GPU you can use cuml.DBSCAN which will be 100x faster than running on CPU and has the same API/ parameters as sklearns DBSCAN
https://docs.rapids.ai/api/cuml/nightly/api/#clustering
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Accepted
Text Classification Taking too long
KMeans and MiniBatch K-Means are generally faster than DBSCAN for large datasets. The fact ...
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