
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.
- Kirjailija
- David B. Skillicorn
- Painos
- 2012 ed.
- ISBN
- 9783642333972
- Kieli
- englanti
- Paino
- 310 grammaa
- Julkaisupäivä
- 27.9.2012
- Sivumäärä
- 108