Objective: Analyse the dataset 'macro' using tandem analysis (PCA, followed by k-means), k-means analysis and reduced k-means analysis (PCA and k-means simultaneously) and compare the results in order to find the best clustering solution.

Examining the Economic Indicators Dataset ‘macro’ with PCA and Cluster Analysis

Objective: To perform non-hierarchical (k-means) and hierarchical (Ward) clustering on the USArrests dataset, then compare the results.

We are going to identify clusters in the ‘mtcars’ dataset and experiment with different types of bond method. We aim to develop an understanding of how the different bond types affect the solution(s).

Analysis of the iris dataset using kmeans clustering. Is 3 the magic number?