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...
|Main Author:||Skillicorn, David B.|
|Corporate Author:||SpringerLink (Online service)|
Berlin, Heidelberg :
Springer Berlin Heidelberg :
SpringerBriefs in Computer Science,
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