PCA and Clustering: Enhancing Data Analysis Workflows

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Explore high-dimensional data challenges and how PCA reduces dimensionality for visualization. Understand clustering as an unsupervised approach to group similar data points and discover patterns. Learn the basics of PCA and its role in transforming data into principal components. Discover how applying PCA before clustering enhances efficiency, aligns data with variance directions, and improves visualization. Examine real-world applications like marketing optimization, exploratory data...