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Foundations of Multidimensional and Metric Data Structures

by Hanan Samet

A broad technical reference for organizing spatial, visual, and high-dimensional data

Regular price $98.26 USD
Regular price $98.26 USD Sale price $98.26 USD

Hardcover New English

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AlbakiReads Editorial

A broad technical reference for organizing spatial, visual, and high-dimensional data

Hanan Samet’s volume maps the foundations of multidimensional and metric data structures across several data types: points, object- and image-based representations, intervals, small rectangles, and high-dimensional datasets. It pairs a wide survey of spatial and multidimensional structures and algorithms with implementation detail for selected practical structures. Exercises and solutions appear throughout, making the book useful not only as a reference but also as a way to test understanding and pursue further study. Its subject range connects database management with applications including GIS, computer graphics, image processing, pattern recognition, similarity retrieval, game programming, solid modeling, and VLSI design.

Good fit for readers who enjoy

  • Computer science students studying multidimensional or spatial data structures
  • Database and GIS practitioners working with spatial information
  • Developers and researchers in graphics, imaging, pattern recognition, or similarity retrieval

Themes

Multidimensional data structuresMetric data structuresSpatial algorithmsHigh-dimensional datasetsData-structure implementation

Based on publisher information and book metadata.

Book overview

Foundations of Multidimensional and Metric Data Structures provides a thorough treatment of multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets.

The book includes a thorough introduction; a comprehensive survey to spatial and multidimensional data structures and algorithms; and implementation details for the most useful data structures. Each section includes a large number of exercises and solutions to self-test and confirm the reader's understanding and suggest future directions.

The book is an excellent and valuable reference tool for professionals in many areas, including computer graphics, databases, geographic information systems (GIS), game programming, image processing, pattern recognition, solid modeling, similarity retrieval, and VLSI design.

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