Understanding High-Dimensional Spaces

Author: David B. Skillicorn
Edition: 2012
Binding: Paperback
ISBN: 3642333974

Understanding High-Dimensional Spaces (SpringerBriefs in Computer Science)

High-dimensional spaces arise as a way of modelling datasets with many attributes. Get Understanding High-Dimensional Spaces computer books for free.
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 work with because of their high dimensionality: our intuition about space is not reliable, and measures such as distance do not provide as clear information as we might expect.A There are three main areas where complex high dimensionality and large datasets arise naturally: data collected by online retailers, preference sites, and social media sites, and customer relationship databases, where there are large but sparse records available for each individual; Check Understanding High-Dimensional Spaces our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Understanding High-Dimensional Spaces Free

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 A There are three main areas where complex high dimensionality and large datasets arise naturally: data collected by online retailers, preference sites, and social media sites, and customer relationship databases, where there are large but sparse records available for each individual;

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