This project demonstrates how hierarchical clustering works using Python. It generates random data points, groups them into clusters using the Ward linkage method, and visualizes the results with a ...

Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the ...

Traditional hierarchical clustering algorithms (such as HAC) are offline and require the entire dataset to be available beforehand. In this project, I have ...

Many simulation studies comparing various methods of cluster analysis have been performed. In these studies, artificial data sets containing known clusters are produced using pseudo-random-number ...