The purpose of the optimization process in custom k-means clustering is to find the optimal arrangement of clusters that minimizes the within-cluster sum of squares (WCSS) or maximizes the between-cluster sum of squares (BCSS). Custom k-means clustering is a popular unsupervised machine learning algorithm used for grouping similar data points into clusters based on their