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 base on diffrent types of files form open-source data banks. Like Illinoin University data bank of 3D model AI porject.
https://www.researchgate.net/publication/220924851_A_Filter_Feature_Selection_Method_for_Clustering https://github.com/TJRadarLab/TJ4DRadSet/tree/main/Sample/training/label_2