Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
standardisation and PCA. Clustering and K-means We are going to perform k-means looking for the optimal number of clusters according to the Calinkski-Harabasz score: Where the k-means cluster centres will be: We can see other things from our data, like the labels of the k-means and the shape of our