Stochastic Block Model: Community Detection

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Explores the diagonalization of matrices and the conditions for exact diagonalization, with examples demonstrating the process.

Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.

Explores finding the equation of the tangent line to a function's graph at a point.

Explores counterfactuals in SEMs and D-Separation in graphical models.

Explains the relationship between two functions through restriction and prolongation, emphasizing the importance of defining a function by its graph.

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Covers the Stochastic Block Model for community detection, focusing on the detection of communities, clusters, and groups.

Explores concurrent programming theory and practice, covering system models, cache coherence, and graph processing.

Explores real functions of two real variables, illustrating domains, images, and graphs.

Discusses the graph of a relation and the concept of separation.