PSOClustering
fuzzy-c-means
| PSOClustering | fuzzy-c-means | |
|---|---|---|
| 1 | 1 | |
| 14 | 162 | |
| - | - | |
| 0.0 | 5.7 | |
| almost 2 years ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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PSOClustering
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Need help understanding Particle Swarm Optimization
I apologize for the very basic question, but I have been having trouble understanding this. So I get PSO in terms of finding a maximum or minimum, given a function. But where I am lost is applying the algorithm to data sets. The one I am looking at is applying the process to the Iris Flower Dataset.
fuzzy-c-means
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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/
What are some alternatives?
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orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
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Writing-Styles-Classification-Using-Stylometric-Analysis - ✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
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leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
MinSizeKmeans - A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
AnnA_Anki_neuronal_Appendix - Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity