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Understanding High-Dimensional Spaces
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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.

Painos
2012 ed.
ISBN
9783642333972
Kieli
englanti
Paino
310 grammaa
Julkaisupäivä
27.9.2012
Sivumäärä
108