kmodes VS PSOClustering

Compare kmodes vs PSOClustering and see what are their differences.

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data (by nicodv)
Python clustering-algorithm k-modes k-prototypes scikit-learn
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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
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kmodes PSOClustering
2 1
1,218 14
- -
4.9 0.0
3 months ago almost 2 years ago
Python Python
MIT License Apache License 2.0
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kmodes

Posts with mentions or reviews of kmodes. We have used some of these posts to build our list of alternatives and similar projects.

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 kmodes and PSOClustering you can also consider the following projects:

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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)

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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.

Dask - Parallel computing with task scheduling

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

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

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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

kmodes vs yellowbrick PSOClustering vs PSO-cont-sched kmodes vs best-of-ml-python PSOClustering vs scikit-opt kmodes vs data-science-ipython-notebooks PSOClustering vs zoofs kmodes vs Dask PSOClustering vs fuzzy-c-means kmodes vs MinSizeKmeans PSOClustering vs MinSizeKmeans kmodes vs orange PSOClustering vs AnnA_Anki_neuronal_Appendix