PSOClustering VS scikit-opt

Compare PSOClustering vs scikit-opt and see what are their differences.

PSOClustering

This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO) (by NiloofarShahbaz)
pso Clustering particle-swarm-optimization clustering-algorithm pso-algorithm kmeans kmeans-clustering Python pso-clustering hybrod-pso python-3
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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)
genetic-algorithm pso particle-swarm-optimization tsp travelling-salesman-problem simulated-annealing ant-colony-algorithm immune-algorithm heuristic-algorithms immune Artificial intelligence fish-swarms Optimization
Source Code
scikit-opt.github.io
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PSOClustering scikit-opt
1 1
14 4,955
- -
0.0 3.3
almost 2 years ago 13 days ago
Python Python
Apache License 2.0 MIT License
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PSOClustering

Posts with mentions or reviews of PSOClustering. We have used some of these posts to build our list of alternatives and similar projects.
  • Need help understanding Particle Swarm Optimization
    1 project | /r/learnmachinelearning | 11 May 2022
    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

PSOClustering vs kmodes scikit-opt vs zoofs PSOClustering vs PSO-cont-sched scikit-opt vs fast-cma-es PSOClustering vs zoofs scikit-opt vs pycma