Lectures related to Extreme Value Theory: Return Level Estimation

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Covers the theory and practice of clustering algorithms, including PCA, K-means, Fisher LDA, spectral clustering, and dimensionality reduction.

Explains k-means clustering, assigning data points to clusters based on proximity and minimizing squared distances within clusters.