zoofs VS PSOClustering

Compare zoofs vs PSOClustering and see what are their differences.

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. (by jaswinder9051998)
Machine Learning Python evolutionary-algorithms genetic-algorithm feature-selection particle-swarm-optimization particle-swarm grey-wolf-optimizer grey-wolf supervised-learning machine-learning-algorithms Machinelearning Optimization optimization-algorithms optimization-methods optimization-tools subset-selection
Source Code
jaswinder9051998.github.io
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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
Source Code
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zoofs PSOClustering
4 1
236 14
- -
0.0 0.0
5 months ago almost 2 years ago
Python Python
Apache License 2.0 Apache License 2.0
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zoofs

Posts with mentions or reviews of zoofs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-27.

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.

What are some alternatives?

When comparing zoofs and PSOClustering you can also consider the following projects:

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)

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

biteopt - Derivative-Free Global Optimization Method (C++, Python binding)

PSO-cont-sched - Made for a college project, this Java program attempts to demonstrate how PSO might be used to solve container scheduling problems.

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

fuzzy-c-means - A simple python implementation of Fuzzy C-means algorithm.

Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.

MinSizeKmeans - A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)

NitroFE - NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

AnnA_Anki_neuronal_Appendix - Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

zoofs vs scikit-opt PSOClustering vs kmodes zoofs vs biteopt PSOClustering vs PSO-cont-sched zoofs vs Sklearn-genetic-opt PSOClustering vs scikit-opt zoofs vs GARI PSOClustering vs fuzzy-c-means zoofs vs Parameterize.Net PSOClustering vs MinSizeKmeans zoofs vs NitroFE PSOClustering vs AnnA_Anki_neuronal_Appendix