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This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones.
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Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen
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Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of te