geometric data analysis (139 Ergebnisse)

XI, 475 p. Softcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 292 | Sprache: Englisch | Produktart: Bücher.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory to algebraic topology, Riemannian geometry, operator theory and network analysis, it goes on to describe and analyze some of the most important machine learning techniques for dimension reduction, including the different types of manifold learning and kernel methods. It also develops a new notion of curvature of generalized metric spaces, based on the notion of hyperconvexity, which can be used for the topological representation of geometric information.In recent years there has been a fascinating development: concepts and methods originally created in the context of research in pure mathematics, and in particular in geometry, have become powerful tools in machine learning for the analysis of data. The underlying reason for this is that data are typically equipped with somekind of notion of distance, quantifying the differences between data points. Of course, to be successfully applied, the geometric tools usually need to be redefined, generalized, or extended appropriately.Primarily aimed at mathematicians seeking an overview of the geometric concepts and methods that are useful for data analysis, the book will also be of interest to researchers in machine learning and data analysis who want to see a systematic mathematical foundation of the methods that they use.

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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoorscene classification, and outdoor scene layout estimation. It is illustrated with numerous naturaland synthetic color images,and extensive statistical analysis is provided to help readers visualize big visualdata distribution and the associatedproblems. Although therehas been some research on big visual data analysis, little workhas been published on big image data distribution analysis using the modernstatistical approach described in thisbook. By presenting a complete methodology on big visual data analysis withthree illustrative scene comprehensionproblems, it provides ageneric framework that canbe applied to other big visual data analysis tasks.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Geometric Data Analysis for Engineers is a practical guide that provides engineers with the tools and techniques needed to analyze and visualize complex geometric data. This book explores the fundamental principles of geometric data analysis, including data representation, feature extraction, and dimensionality reduction. The author presents a range of methodologies for analyzing geometric data, including point cloud processing, mesh analysis, and shape comparison. With its focus on practical applications and real-world examples, Geometric Data Analysis for Engineers is an essential resource for engineers, researchers, and students seeking to extract meaningful insights from complex geometric data sets. By mastering the techniques presented in this book, readers can improve the accuracy and efficiency of their engineering designs and simulations. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Geometric Patterns in Data Analysis presents a novel approach to data visualization, one that harnesses the power of geometric shapes to reveal hidden insights within complex datasets. By applying the principles of fractal geometry and topology, this book shows how to identify and interpret the intricate patterns that underlie even the most seemingly random data. From the swirling vortex of financial markets to the intricate web of social networks, each chapter explores the geometric structures that govern the behavior of complex systems. By learning to recognize and analyze these patterns, data analysts can gain a deeper understanding of the underlying dynamics that shape the world around us. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Geometric Data Analysis for Scientists is a practical guide that provides scientists with the tools and techniques needed to analyze and visualize complex geometric data. This book explores the fundamental principles of geometric data analysis, including data representation, feature extraction, and dimensionality reduction. The author presents a range of methodologies for analyzing geometric data, including point cloud processing, mesh analysis, and shape comparison. With its focus on practical applications and real-world examples, Geometric Data Analysis for Scientists is an essential resource for scientists, researchers, and students seeking to extract meaningful insights from complex geometric data sets. By mastering the techniques presented in this book, readers can improve the accuracy and efficiency of their scientific investigations and simulations. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Geometric Data Analysis for Data Scientists is a cutting-edge resource that explores the application of geometric data analysis techniques in data science. This book provides a comprehensive introduction to the subject, covering the fundamental concepts, algorithms, and techniques used in geometric data analysis. From the basics of geometric data analysis to its advanced applications in data science, this book offers a structured and in-depth approach to understanding and implementing these techniques. With its clear and concise explanations, Geometric Data Analysis for Data Scientists is an essential tool for anyone looking to enhance their knowledge and skills in this field. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

LeatherBound. Zustand: New. LeatherBound edition. Condition: New. Reprinted from 1964 edition. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. A perfect gift for your loved ones. Pages: 60 NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Pages: 60 Quitmeyer, Herman C.