Understanding High-Dimensional Spaces

• Main Author: Skillicorn, David B. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Computer security.; Data structures (Computer science).; Computers.; E-commerce.; Computer Science.; Information Systems and Communication Service.; Data Structures, Cryptology and Information Theory.; Computing Methodologies.; Systems and Data Security.; e-Commerce/e-business.

High-dimensional spaces arise as a way of modelling datasets with many attributes. Such a dataset can be directly represented in a space spanned by its attributes, with each record represented as a point in the space with its position depending on its attribute values. Such spaces are not easy to wo...

Table of Contents:

• Introduction
• Basic Structure of High-Dimensional Spaces
• Algorithms
• Spaces with a Single Center
• Spaces with Multiple Clusters
• Representation by Graphs
• Using Models of High-Dimensional Spaces
• Including Contextual Information
• Conclusions
• Index
• References.