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A data scientist at a retail company is analyzing customer purchase patterns to segment them into distinct groups for targeted marketing campaigns. To achieve this, the scientist is employing k-Means clustering. What is the most effective method for selecting the optimal number of clusters (k) to accurately categorize customers into meaningful segments?