Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
with the determined number of components. KMeans Clustering: Apply KMeans clustering on the PCA results to group cereals based on their nutritional profile. Analyzing PCA Loadings: Interpret the PCA components to understand which nutritional factors are most significant. Interpreting Cluster