Concept

Globular cluster

Related lectures (32)

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Explores branching processes in networks, genealogy, and avalanche of activity, discussing cluster size distribution in MF percolation.

Statistical Physics of Clusters

Explores the statistical physics of clusters, focusing on complexity and equilibrium behavior.

Clustering Algorithms: K-Means vs Spectral Clustering

Compares K-Means and Spectral Clustering algorithms, highlighting their differences and practical applications in clustering student behaviors.

Graph Coloring III

Explores properties of clusters and colorability threshold in graph coloring, including average connectivity and rigidity.

Graph Coloring: Theory and Applications

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

Percolation Theory

Covers percolation theory, absorbed polymers, giant molecules, phase transition, scaling assumptions, and universal behavior in percolation models.

Molecular Complex Formation: Integrin, Talin, Kindlin

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Sparsest Cut: Leighton-Rao Algorithm

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Stochastic Block Model: Community Detection

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

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Gitlab Agent for Kubernetes (`agentk`)

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Covers stellar evolution, fusion processes, and the age of stellar clusters, emphasizing gas pressures and star evolution based on mass.

Gravitational Lensing: Basics and Applications

Explores the history and principles of gravitational lensing, discussing strong and weak lensing, critical lines, and mass distribution effects.

Stellar Evolution: Life and Death of Stars

Explores the birth, life, and death of stars, including fusion processes and white dwarf formation.

Parallel Architectures: Shared Memory, Shared Disk, Shared Nothing

Covers the architectures for parallel databases, including Shared Memory, Shared Disk, and Shared Nothing.

Satisfiability and clusters

Covers satisfiability threshold, clusters of solutions, parameter alpha, and average cluster computation.

Brain region atlases: Evolution

Explores the evolution of brain region atlases through connectivity-based parcellation and cluster formation criteria.

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Hybrid Programming and Project Proposals

Covers hybrid programming models, project proposals, thread safety, topology problems, and performance expectations in MPI.

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Introduces hierarchical and k-means clustering methods, discussing construction approaches, linkage functions, Ward's method, the Lloyd algorithm, and k-means++.