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https://github.com/kopach-artem/cluster-analysis-algorithms

A collection of clustering algorithms implemented in Python and C++, complete with a GUI for simulation and educational purposes, showcasing data analysis techniques." This description succinctly outlines the purpose and contents of the repository within the constraints provided.
https://github.com/kopach-artem/cluster-analysis-algorithms

4d-radar c-plus-plus clustering dbscan gmm gui-application k-means python

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A collection of clustering algorithms implemented in Python and C++, complete with a GUI for simulation and educational purposes, showcasing data analysis techniques." This description succinctly outlines the purpose and contents of the repository within the constraints provided.

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# Cluster-Analysis-Algorithms

## About porject:

In this porject the main goal is to study the most popular algorithms of clusterisation.

I provide this list of clusteisation algorithms:

- K-Means (Python representation without "sklearn" (my implementation)/ C++ implementation with console output)
- K-Means++ (Python sklearn)
- DBSCAN (Python sklearn and C++ implementation)
- HDBSCAN (Python)
- GMM Gauss(Python)

For all of that we have GUI with manual start and simulation competition.

## Data Bank:
Data bank base on diffrent types of files form open-source data banks. Like Illinoin University data bank of 3D model AI porject.

## Developer information:

## Future plans:

https://www.researchgate.net/publication/220924851_A_Filter_Feature_Selection_Method_for_Clustering
https://github.com/TJRadarLab/TJ4DRadSet/tree/main/Sample/training/label_2