mostafahamedabdelmasoud / hierarchical_clustering Goto Github PK

we will be using sklearn to conduct hierarchical clustering on the Iris dataset which contains 4 dimensions/attributes and 150 samples. Each sample is labeled as one of the three type of Iris flowers. In this exercise, we'll ignore the labeling and cluster based on the attributes, then we'll compare the results of different hierarchical clustering techniques with the original labels to see which one does a better job in this scenario. We'll then proceed to visualize the resulting cluster hierarchies.