Average silhouette method measures how well-defined a particular cluster is, and how well-separated it is from other clusters. At this point, it is necessary to state that Silhouette value is calculated for each observation in the data set. Average of the silhouette value of all observations gives …

Data visualization can be defined as the use of graphical or pictorial representations to present data in a way that makes it easier to understand, analyze, and communicate. It involves the use of visual elements such as charts, graphs, and maps to help users better understand and interpret complex …

Density-based clustering is a type of clustering algorithm that groups together data points that are closely packed together, while separating those that are more sparsely distributed. The main idea behind density-based clustering is to identify regions in the feature space where the data points are …