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Lecture
Extensions to Exchangeability: Statistical Analysis of Network Data
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Excision: An Example
Covers the concept of excision in algebraic topology with a focus on simplicial and singular homology.
Homology Groups: Basics
Introduces reduced homology groups and explains their properties and applications in topology.
Natural Examples of Simplicial Sets
Introduces two fundamental examples of simplicial sets: the nerve of a small category and the singular simplicial set of a topological space.
Network clustering
Explores network clustering, spectral clustering, k-means algorithm, eigenvalue properties, block model estimation, and structural similarity measurement.
Unsupervised Learning: Clustering Methods
Covers unsupervised learning focusing on clustering methods and the challenges faced in clustering algorithms like K-means and DBSCAN.
Nerves and Geometric Realization
Covers the explicit computations of nerves of categories and geometric realisations of simplicial sets.
Introduction to simplicial sets: Simplicial sets
Introduces the category of simplicial sets and explores the standard n-simplex as a universal example.
Bar Construction: Homology Groups and Classifying Space
Covers the bar construction method, homology groups, classifying space, and the Hopf formula.
Clusters and Communities
Explores clustering, community detection, K-means, GMM, modularity, and the Louvain method.
Adjunction between Simplicial Sets and Enriched Categories
Covers the adjunction between simplicial sets and simplicially enriched categories, including preservation of inclusions and construction of homotopy categories.