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Foundations of Multidimensional and Metric Data Structures

Foundations of Multidimensional and Metric Data Structures provides a thorough treatment of multidimensional point data, object and;

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Metric Methods of Finsler Spaces and in the Foundations of Geometry. (AM-8)

The description for this book, Metric Methods of Finsler Spaces and in the Foundations of Geometry. (AM-8), will be forthcoming.;

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Pascal Programming and Problem Solving

; ordinary data types; strings; multidimensional arrays; data structures; and algorithms.;

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Handbook of Data Structures and Applications Chapman HallCRC Computer and Information Science Series

structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which;

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Handbook of Data Structures and Applications

structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which;

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Metric Learning

recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance;

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Microsoft SQL Server 2008 Analysis Services Unleashed

access to data and even more tools for managing and analyzing data across multidimensional objects (databases, dimensions, cubes;

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Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research

This book explores the fundamentals of multidimensional scaling (MDS) and how this analytic method can be used in applied setting for;

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Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research

This book explores the fundamentals of multidimensional scaling (MDS) and how this analytic method can be used in applied setting for;

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Multidimensional Mining of Massive Text Data

multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns;

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Multidimensional Mining of Massive Text Data

multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns;

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Nonlinear Dimensionality Reduction Techniques

This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and;

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Selected Works I

and one of the main founders of metric geometry, convexity theory and convexity in metric spaces. Busemann also did substantial work (probably;

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Selected Works II

and one of the main founders of metric geometry, convexity theory and convexity in metric spaces. Busemann also did substantial work (probably;

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Metric Culture

We live in a metric culture where data, algorithms, and numbers play an unmistakably powerful role in defining, shaping and ruling the;

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Metric Culture

We live in a metric culture where data, algorithms, and numbers play an unmistakably powerful role in defining, shaping and ruling the;

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Data Structure Using C

be used to represent the data. In this book, multiple stacks and multiple queues are added to represent more complex data structures. This;

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Numerical Geometry, Grid Generation and Scientific Computing

-conformal and quasi-isometric mappings, hyperelastic deformations, multidimensional generalisations of the equidistribution principle, discrete;

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Numerical Geometry, Grid Generation and Scientific Computing

-conformal and quasi-isometric mappings, hyperelastic deformations, multidimensional generalisations of the equidistribution principle, discrete;

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Numerical Geometry, Grid Generation and Scientific Computing

-conformal and quasi-isometric mappings, hyperelastic deformations, multidimensional generalisations of the equidistribution principle, discrete;

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Parallel Coordinates

of multidimensional lines, minimum distances, planes, hyperplanes, and clusters of near planes. The last chapter explains in a non-technical way the;

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Handbook of Item Response Theory Modeling

including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3;

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Handbook of Item Response Theory Modeling

including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3;

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Metric Structures and Fixed Point Theory

. Metric Structures and Fixed Point Theory provides an extensive understanding and the latest updates on the subject. The book not only shows;

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Multilinear Subspace Learning

wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more;

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Java Foundations

introduction to programming textbook that includes detail on data structures topics. Java Foundations introduces a Software Methodology early on and;

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Java Foundations

introduction to programming textbook that includes detail on data structures topics. Java Foundations introduces a Software Methodology early on and;

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