sparse-som VS minisom

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

sparse-som

Efficient Self-Organizing Map for Sparse Data (by yoch)
self-organizing-map sparse-data Openmp neural-nets Som Algorithm Python
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minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps (by JustGlowing)
Machine Learning vector-quantization Som neural-networks unsupervised-learning manifold-learning self-organizing-map Clustering outlier-detection dimensionality-reduction
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sparse-som minisom
1 3
18 1,387
- -
0.0 8.4
over 3 years ago 6 days ago
C++ Python
GNU General Public License v3.0 only 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.
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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.

sparse-som

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

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.

What are some alternatives?

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

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

umap - Uniform Manifold Approximation and Projection

LeetCode-Solutions - 🏋️ Python / Modern C++ Solutions of All 3123 LeetCode Problems (Weekly Update)

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

Kratos - Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

DBCV - Python implementation of Density-Based Clustering Validation

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.

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

sparse-som vs susi minisom vs umap sparse-som vs LeetCode-Solutions minisom vs somoclu sparse-som vs somoclu minisom vs susi sparse-som vs Kratos minisom vs DBCV minisom vs som-tsp minisom vs n2d minisom vs awesome-community-detection