Understanding High-Dimensional Spaces

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...

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Main Author: Skillicorn, David B.
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language: English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2012.
Series: SpringerBriefs in Computer Science,
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-33398-9
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