Sumários

Dimensionality Reduction - II

15 Outubro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Methods for dimensionality reduction:  non-linear methods: 
    • Kernel PCA
    • Manifold learning: 
      • isomap embedding
      • multidimensional scaling
      • t-distributed Stochastic Neighbor Embedding (t-SNE)

Individual study

14 Outubro 2025, 14:00 • André Maria da Silva Dias Moitinho de Almeida

Individual study of clustering and dimensionality reduction for TP problems.

Structure in data

8 Outubro 2025, 09:30 • André Maria da Silva Dias Moitinho de Almeida

  • Computational exercises on clustering.

Dimensionality Reduction - I

8 Outubro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • High dimensional data in physics
  • The curse (and blessing) of dimensionality
  • Approaches and methods for dimensionality reduction
    • Feature selection 
    • Feature extraction
  • Methods for dimensionality reduction (feature extraction)
    • Principal component analysis (PCA)

Structure in data - III

7 Outubro 2025, 14:00 • André Maria da Silva Dias Moitinho de Almeida

  • Finding groups: clustering (cont)
    • Hierarchical+Hierarchical: OPTICS
    • Hierarchical+Hierarchical: HDBSCAN
    • Going further: UPMASK, and more