Open cluster

Related lectures (32)

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

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

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

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

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

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

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

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

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