Lectures related to Social and Information Networks: Structure

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.

Topic Models: Latent Dirichlet Allocation Log in to Mediaspace to watch this video

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Untitled Log in to Mediaspace to watch this video

Evaluating Clustering Quality Log in to Mediaspace to watch this video

Explores the silhouette coefficient for evaluating cluster quality and other cluster evaluation measures.

Building Neural Networks: Assembly Strategies Log in to Mediaspace to watch this video

Focuses on assembling neural network building blocks and dealing with data sparseness using various strategies and assumptions.