scikit-opt
PSOClustering
| scikit-opt | PSOClustering | |
|---|---|---|
| 1 | 1 | |
| 4,937 | 14 | |
| - | - | |
| 3.3 | 0.0 | |
| 6 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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scikit-opt
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.
What are some alternatives?
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.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
fast-cma-es - A Python 3 gradient-free optimization library
PSO-cont-sched - Made for a college project, this Java program attempts to demonstrate how PSO might be used to solve container scheduling problems.
pycma - Python implementation of CMA-ES
Multi-UAV-Task-Assignment-Benchmark - A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem
fuzzy-c-means - A simple python implementation of Fuzzy C-means algorithm.
geneal - A genetic algorithm implementation in python
MinSizeKmeans - A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
noisyopt - Python library for optimizing noisy functions.
AnnA_Anki_neuronal_Appendix - Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity