fuzzy-c-means
A simple python implementation of Fuzzy C-means algorithm. (by omadson)
clus
Clustering and fuzzy-clustering library with integrated CLI (by NicolasBizzozzero)
fuzzy-c-means | clus | |
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1 | 1 | |
164 | 9 | |
- | - | |
5.7 | 2.9 | |
14 days ago | 7 months ago | |
Python | Python | |
MIT License | - |
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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.
fuzzy-c-means
Posts with mentions or reviews of fuzzy-c-means.
We have used some of these posts to build our list of alternatives
and similar projects.
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fuzzy-c-means: A simple python implementation of Fuzzy C-means algorithm.
Source code: https://github.com/omadson/fuzzy-c-means/
clus
Posts with mentions or reviews of clus.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Interview Practice: Coding K-Means Clustering using Python and NumPy
Nice work ! I also worked on an implementation with only matrix operations and without copying matrix between computations a long time ago. I wanted to compare differents algorithms on a huge dataset. You can check it out if you are interested. And if you want to spice things up a bit, you have the fuzzy-c-means algorithm which is not that complicated compared to k-means and can give more information about your clustering.
What are some alternatives?
When comparing fuzzy-c-means and clus you can also consider the following projects:
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
PSOClustering - This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO)
Writing-Styles-Classification-Using-Stylometric-Analysis - ✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.