Unsupervised Learning (Clustering)
Εισαγωγή και εξοικείωση με τις μεθόδους, Clustering, K-means, Expectation Maximization (EM), Spectral Clustering.
Λέξεις κλειδιά:
Clustering, Partitional method, K-means, time complexity, speed-up tricks, Expectation Maximization, Gaussian Mixture Models, E step, M step, Hierarchical Clustering, Association Mining, Apriori Algorithm, Spectral Clustering, Graph-Cut, Min-Cut, Graph Laplacian, Ratio Cut, Normalized Cut, Algorithm for k>2, Laplacian-Eigenvectors-EigenValues, Modularity function, Newman-Girvan algorithm
