Clustering the mobile phone positions based on suffix tree and Self-Organizing Maps

Title:

Clustering the mobile phone positions based on suffix tree and Self-Organizing Maps

Creator:

Martinovič, Jan, Tomáš , Snášel, Václav, Scherer, Petr, Klement, Petr, and Šebesta , Roman

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:b2a97172-8623-4d0f-bfe2-2292de8b0aa0
uuid:b2a97172-8623-4d0f-bfe2-2292de8b0aa0
doi:10.14311/NNW.2012.22.022

Subject:

Mobile phone positioning, GSM, suffix tree, Self-Organizing Maps, and clustering

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

In this article we present a novel method for mobile phone positioning using a vector space model, suffix trees and an information retrieval approach. The algorithm is based on a database of previous measurements which are used as an index which looks for the nearest neighbor toward the query measurement. The accuracy of the algorithm is, in most cases, good enough to accomplish the E9-1-1 standards requirements on tested data. In addition, we are trying to look at the clusters of patterns that we have created from measured data and we have reflected them to the map. We use Self-Organizing Maps for these purposes.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2012 Volume:22 | Number:4

Harvested from:

CDK

Metadata only:

false