Understanding high-dimensional spaces [electronic resource] / David B. Skillicorn.

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...

Full description

Bibliographic Details

Online Access:	Full Text (via Springer)
Main Author:	Skillicorn, David B.
Format:	Electronic eBook
Language:	English
Published:	Berlin ; New York : Springer, ©2012.
Series:	SpringerBriefs in computer science.
Subjects:	Data mining.