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Learn how to develop feature selection and clustering algorithms using a Quantum Annealer in this detailed tutorial presented by Andrea Pasin, PhD student at University of Padua and co-organizer of QuantumCLEF 2024. Master step-by-step instructions for implementing both feature selection (Task 1) and clustering (Task 2) techniques through quantum computing approaches. Gain practical insights into quantum annealing applications for machine learning tasks during this 72-minute technical demonstration that supports the QuantumCLEF 2024 competition objectives.
