n2d VS awesome-community-detection

Compare n2d vs awesome-community-detection and see what are their differences.

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. (by rymc)
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n2d awesome-community-detection
1 1
122 2,266
- -
0.0 2.8
6 months ago about 1 month ago
Python Python
GNU General Public License v3.0 only Creative Commons Zero v1.0 Universal
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n2d

Posts with mentions or reviews of n2d. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-12.
  • Time-Series image clustering. Advice needed!
    2 projects | /r/gis | 12 Sep 2021
    So far I found some approaches that looks promising, for example n2d or k-means with DTW distance, and there are some more (e.g. T-DPSOM), but I want to start from these.

awesome-community-detection

Posts with mentions or reviews of awesome-community-detection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing n2d and awesome-community-detection you can also consider the following projects:

minisom - :red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.

DBCV - Python implementation of Density-Based Clustering Validation

Clover - An Efficient DNA Clustering algorithm based on Tree Structure.