Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
do we know if it would be good or not? Let’s understand what scaling does to our model. If we have two features, X1, X2. The range of X1 is -1 to 1, and X2 is -100 to 100. While computing the intracluster variances, X2 will contribute more to the SSE than X1. Hence, the model can minimize this SSE