Dimesionality Reduction and Feature Selection
Εισαγωγή και εξοικείωση με τις μεθόδους Pre-processing, Exploration, Feature selection, Dimensionality reduction, feature extraction and evaluation.
Λέξεις κλειδιά: Distance Measures, Exploratory Data Analysis, Data Quality, Evaluation metrics, Filter methods, Wrapper methods, Embedded methods, Complexity, Data features, k-NN, Linear Algorithms, Matrix Factorization methods, Principal Components Analysis (PCA) , Singular Value Decomposition (SVD), Multidimensional Scaling (MDS), Non negative, Matrix Factorization (NMF), Latent Semantic Indexing (LSI)
