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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
Last synced: 20 days ago
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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.
- Host: GitHub
- URL: https://github.com/kopach-artem/cluster-analysis-algorithms
- Owner: kopach-artem
- Created: 2024-02-21T13:33:38.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-05-03T12:41:05.000Z (8 months ago)
- Last Synced: 2024-05-03T16:42:18.025Z (8 months ago)
- Topics: 4d-radar, c-plus-plus, clustering, dbscan, gmm, gui-application, k-means, python
- Language: Python
- Homepage:
- Size: 1.25 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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