Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
more by minimizing the contribution from X2. This won’t happen if you use standard scaling where you transform the feature as — X_transformed = (X-X_mean)/X_std_dev Let’s look at examples! Scaled features — Clusters with scaled features. The partition is perfect! Original image. Same data, but