PSOClustering
PSO-cont-sched
| PSOClustering | PSO-cont-sched | |
|---|---|---|
| 1 | 1 | |
| 14 | 0 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 2 years ago | 11 months ago | |
| Python | Java | |
| Apache License 2.0 | - |
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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.
PSO-cont-sched
What are some alternatives?
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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)
hego - Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...
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.
fuzzy-c-means - A simple python implementation of Fuzzy C-means algorithm.
evoli - Genetic Algorithm and Particle Swarm Optimization
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
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)