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Correlation Testing with Julia
In addition to calculating correlation coefficients, you may want to test the significance of the correlation. This is done using a correlation test, which evaluates whether the observed correlation is significantly different from zero. Here's how you can do correlation tests in Julia for Pearson, Spearman, and Kendall correlations.
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Mall Customer Segmentation Analysis
Provide a brief description of what the document is about. For example: "This analysis performs customer segmentation on a mall dataset using K-Means clustering, Hierarchical clustering, and DBSCAN. The goal is to explore how different clustering algorithms group similar customers based on age, annual income, and spending score."