minisom VS som-tsp

Compare minisom vs som-tsp and see what are their differences.

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minisom som-tsp
3 11
1,387 3,613
- -
8.4 0.0
5 days ago 4 months ago
Python Python
MIT License MIT 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.

som-tsp

Posts with mentions or reviews of som-tsp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-17.

What are some alternatives?

When comparing minisom and som-tsp you can also consider the following projects:

umap - Uniform Manifold Approximation and Projection

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

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

susi - SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

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

TSP_Solver - Python code for visualizations of algorithms that provide approximate solutions to TSP along with two lower bound approximations

Neupy - NeuPy is a Tensorflow based python library for prototyping and building neural networks

DBCV - Python implementation of Density-Based Clustering Validation

encode-attend-navigate-pytorch - Encode-attend-navigate unofficial Pytorch implementation

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.

awesome-community-detection - A curated list of community detection research papers with implementations.