Concept

Star cluster

Related lectures (32)

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

Galaxy Clusters: Components and Discoveries

Explores galaxy cluster components, historical discoveries, X-ray and radio emissions, and gravitational lensing effects.

Branching Processes: Networks, Genealogy, Avalanche

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

Introduction to Astrophysics: The Solar System

Covers astronomical units, light years, parallax, exoplanets, stars, nebulae, and galaxy clusters.

Graph Coloring III

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

Clustering Algorithms: K-Means vs Spectral Clustering

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

Percolation Theory

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

Graph Coloring: Theory and Applications

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

Gravitational Lensing Analysis

Covers the analysis of gravitational lensing in galaxy clusters, focusing on the mass distribution and precision achieved in the mass model of the galaxy cluster MACSJ0416.1-2403.

Molecular Complex Formation: Integrin, Talin, Kindlin

Explores molecular complex formation during cell adhesion using single-protein imaging techniques and DNA-PAINT simulations.

Introduction to Astrophysics

Covers space, stars, the solar system, nebulae, and galaxy clusters.

Stochastic Block Model: Community Detection

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

Sparsest Cut: Leighton-Rao Algorithm

Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.

Gitlab Agent for Kubernetes (`agentk`)

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Introduction to Astrophysics: Stellar Evolution

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

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.

Clustering: Unsupervised Learning

Explores clustering in high-dimensional space, covering methods like hierarchical clustering, K-means, and DBSCAN.

Satisfiability and clusters

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

K-means Algorithm

Covers the K-means algorithm for clustering data samples into k classes without labels, aiming to minimize the loss function.