Principal Component Analysis (PCA) on the mtcars dataset

Clustering on the USArrests dataset, applying different methods such as k-means clustering and hierarchical clustering, also visualize the results using PCA and dendrograms to compare the clustering outcomes.

Image classification of animals, fruits, birds, flowers , etc

Clustering Analysis using k-means, DBSCAN, and Evaluation Metrics in R