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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers unsupervised behavior clustering and dimensionality reduction techniques, focusing on algorithms like K-Means, DBSCAN, Gaussian Mixture Model, and Hierarchical Clustering. It explores the challenges of high-dimensional data, the curse of dimensionality, and the need for dimensionality reduction. The presentation also delves into deep-learning-based clustering methods and provides insights on implementing clustering algorithms using libraries like scikit-learn.