Distributed Actor CommunicationExplores the impact of network communication on actors and covers distributed actor communication, clusters formation, and remote deployment.
Clustering: K-means & LDACovers clustering using K-means and LDA, PCA, K-means properties, Fisher LDA, and spectral clustering.
Clustering MethodsCovers K-means, hierarchical, and DBSCAN clustering methods with practical examples.
Random-Subcube ModelIntroduces the Random-Subcube Model (RSM) for constraint satisfaction problems, exploring its structure, phase transitions, and variable freezing.
Time Series ClusteringCovers clustering time series data using dynamic time warping, string metrics, and Markov models.
