Projections, Réduction des dimensions

(à venir)

• PCA, Sparse PCA, Kernel PCA

• SOM

• LSH

Lectures

• PCA

• Johnson–Lindenstrauss lemma, Random projection, Concentration of measure, Experiments with Random Projection

• Compressed sensing and single-pixel cameras (wikipedia : Compressed Sensing)

• Locality-sensitive hashing, LSH Forest: Self-Tuning Indexes for Similarity Search

• Manifold learning

• Cartes de Kohonen

• Dynamic Self-Organising Map

• Fast Randomized SVD

• Neural Autoregressive Distribution Estimation

• How to Use t-SNE Effectively

• Practical and Optimal LSH for Angular Distance

• Optimal Data-Dependent Hashing for Approximate Near Neighbors

• mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations

• Feature Hashing for Large Scale Multitask Learning

Modules

• scikit-learn

• statsmodels

• fbpca : ACP

• prince : ACM

• Parametric-t-SNE

• openTSNE

• datasketch (LSH), le module minhashcuda implémente l’algorithme MinHash sur GPU

• NearPy (LSH)

Animations

• How to Use t-SNE Effectively