minisom VS susi

Compare minisom vs susi and see what are their differences.

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minisom susi
3 1
1,388 102
- -
8.4 6.5
2 days ago about 1 month ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

minisom

Posts with mentions or reviews of minisom. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-15.

susi

Posts with mentions or reviews of susi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-15.

What are some alternatives?

When comparing minisom and susi you can also consider the following projects:

umap - Uniform Manifold Approximation and Projection

alibi-detect - Algorithms for outlier, adversarial and drift detection

somoclu - Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

sparse-som - Efficient Self-Organizing Map for Sparse Data

trackball-python - Python library for the Pimoroni Track Ball Breakout

DBCV - Python implementation of Density-Based Clustering Validation

tinyHTTPie - TinyHTTPie is the Product of the Multi-Part Series "The Evolution of a Script".

som-tsp - Solving the Traveling Salesman Problem using Self-Organizing Maps

n2d - A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.