The k-means range algorithm for personalized data clustering in e-commerce [An article from

Author: G.P. Papamichail
Edition:
Binding: Digital
ISBN: B000PC02CO

The k-means range algorithm for personalized data clustering in e-commerce [An article from: European Journal of Operational Research]

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2007. Get The k-means range algorithm for personalized data clustering in e-commerce [An article from computer books for free.
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Description:
This paper describes the k-means range algorithm, a combination of the partitional k-means clustering algorithm with a well known spatial data structure, namely the range tree, which allows fast range searches. It offers a real-time solution for the development of distributed interactive decision aids in e-commerce since it allows the consumer to model his preferences along multiple dimensions, search for product information, and Check The k-means range algorithm for personalized data clustering in e-commerce [An article from our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

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The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper describes the k-means range algorithm, a combination of the partitional k-means clustering algorithm with a well known spatial data structure, namely the range tree, which allows fast range searches he article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper describes the k-means range algorithm, a combination of the partitional k-means clustering algorithm with a well known spatial data structure, namely the range tree, which allows fast range searches. It offers a real-time solution for the development of distributed interactive decision aids in e-commerce since it allows the consumer to model his preferences along multiple dimensions, search for product information, and

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