PSOClustering
This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO) (by NiloofarShahbaz)
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) (by guofei9987)
PSOClustering | scikit-opt | |
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1 | 1 | |
14 | 4,955 | |
- | - | |
0.0 | 3.3 | |
almost 2 years ago | 14 days ago | |
Python | Python | |
Apache License 2.0 | 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.
PSOClustering
Posts with mentions or reviews of PSOClustering.
We have used some of these posts to build our list of alternatives
and similar projects.
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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.
scikit-opt
Posts with mentions or reviews of scikit-opt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-10.
What are some alternatives?
When comparing PSOClustering and scikit-opt you can also consider the following projects:
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
PSO-cont-sched - Made for a college project, this Java program attempts to demonstrate how PSO might be used to solve container scheduling problems.
fast-cma-es - A Python 3 gradient-free optimization library
pycma - Python implementation of CMA-ES