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