generalized-kmeans-clustering
Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data. (by derrickburns)
hammock-public
Visualize text embeddings (by colehaus)
generalized-kmeans-clustering | hammock-public | |
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1 | 1 | |
297 | 30 | |
- | - | |
8.2 | 2.3 | |
4 months ago | 10 months ago | |
HTML | HTML | |
Apache License 2.0 | - |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
generalized-kmeans-clustering
Posts with mentions or reviews of generalized-kmeans-clustering.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-12.
hammock-public
Posts with mentions or reviews of hammock-public.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-12.
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K-Means Clustering
Funny, I did almost the exact same thing: https://github.com/colehaus/hammock-public. Though I project to 3D and then put them in an interactive 3D plot. The other fun little thing the interactive plotting enables is stepping through a variety of clustering granularities.
What are some alternatives?
When comparing generalized-kmeans-clustering and hammock-public you can also consider the following projects:
coreset - Implementation of lightweight coresets for data summarization