Description
The science of finding hidden patterns in unlabeled data. Sessions will cover metrics for evaluating clustering quality (e.g., silhouette score) and introduce a range of fundamental clustering algorithms.
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Ylenia Maruccia (INAF - Astronomical Observatory of Capodimonte)16/04/2026, 09:30
- Introduction to Unsupervised Learning
- Paradigm and algorithms
- Clustering
- Overview, workflow, and evaluation metrics
- K-Means (mechanism, pros and cons, choice of k)
- Hands-on session
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Francesco Schilliro' (Istituto Nazionale di Astrofisica (INAF))16/04/2026, 11:30
Self Organizing Maps
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Ylenia Maruccia (INAF - Astronomical Observatory of Capodimonte)16/04/2026, 14:00
- Clustering algorithms:
- DBSCAN
- Hierarchical Clustering
- HDBSCAN
- Clustering algorithms:
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Ylenia Maruccia (INAF - Astronomical Observatory of Capodimonte)16/04/2026, 16:00
This session includes a practical hands-on component.
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