Isomap – Bücher zum Thema Isomap finden und kaufen

Leo Liberti, Carlile Lavor
Springer International Publishing
60.98 € · Hardcover

convex optimization complete graphs discretizability K-laterative graphs Mathematica vertex orders Branch-and-Prune algorithm weighted adjacency matrix mathematical programming graph visualization clock synchronization localization of sensor networks unmanned underwater vehicles Isomap Multidimensional Scaling

This textbook, the first of its kind, presents the fundamentals of distance geometry:  theory, useful methodologies for obtaining solutions, and real world applications. Concise proofs are given and step-by-step algorithms for solving fundamental problems efficiently and precisely&#xa...

Fundamentals of Data Analytics

Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi
Springer International Publishing
96.29 € · Hardcover

dimensionality reduction principal component analysis multidimensional scaling classification machine learning data science supervised machine learning dimensionality reduction principal component analysis clustering diffusion maps ISOMAP spectral clustering matrix optimization and approximation support vector machines

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...

Euclidean Distance Geometry

Leo Liberti, Carlile Lavor
Springer International Publishing
60.98 € · eBook

convex optimization complete graphs discretizability K-laterative graphs Mathematica vertex orders Branch-and-Prune algorithm weighted adjacency matrix mathematical programming graph visualization clock synchronization localization of sensor networks unmanned underwater vehicles Isomap Multidimensional Scaling

This textbook, the first of its kind, presents the fundamentals of distance geometry:  theory, useful methodologies for obtaining solutions, and real world applications. Concise proofs are given and step-by-step algorithms for solving fundamental problems efficiently and precisely&#16...

Fundamentals of Data Analytics

Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi
Springer International Publishing
69.54 € · eBook

dimensionality reduction principal component analysis multidimensional scaling classification machine learning data science supervised machine learning dimensionality reduction principal component analysis clustering diffusion maps ISOMAP spectral clustering matrix optimization and approximation support vector machines

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...

Euclidean Distance Geometry

Leo Liberti, Carlile Lavor
Springer International Publishing
60.98 € · Paperback

convex optimization complete graphs discretizability K-laterative graphs Mathematica vertex orders Branch-and-Prune algorithm weighted adjacency matrix mathematical programming graph visualization clock synchronization localization of sensor networks unmanned underwater vehicles Isomap Multidimensional Scaling

This textbook, the first of its kind, presents the fundamentals of distance geometry:  theory, useful methodologies for obtaining solutions, and real world applications. Concise proofs are given and step-by-step algorithms for solving fundamental problems efficiently and precisely&#xa...

Fundamentals of Data Analytics

Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi
Springer International Publishing
69.54 € · Paperback

dimensionality reduction principal component analysis multidimensional scaling classification machine learning data science supervised machine learning dimensionality reduction principal component analysis clustering diffusion maps ISOMAP spectral clustering matrix optimization and approximation support vector machines

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...

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