Answer: K-means

## Explanation **K-means clustering** is the appropriate algorithm for this scenario because: - The bank wants to **group customers** based on demographic features (age, marriage status, salary) - This is an **unsupervised learning** task - there are no predefined labels for the groups - K-means is specifically designed for **customer segmentation** and grouping similar data points **Why other options are incorrect:** - **A**: Natural language processing is for text analysis, not numerical clustering - **B**: Logistic regression is for classification with known labels, not grouping - **C**: PCA is for dimensionality reduction, not customer segmentation K-means clustering is widely used in banking for customer segmentation based on demographic and financial characteristics.

Author: LeetQuiz Editorial Team