Title
A data analysis and visualization algorithm based on locally linear approximating for WSN
Abstract
In order to extract detailed information about the environment, a mass of high dimensional nonlinear data information were collected by wireless multimedia sensor network nodes. The analysis and visualization of sensory data is a very important aspect of sensor network application system. In this paper, we propose Locally Linear Approximating (LLA) algorithm. It reaches the aim of locally linear approximating through adopting the way of direct gradients estimation, thus realizes the dimensionality reduction of the high-dimensional nonlinear data. The presented algorithm is proven to satisfy its goals through the computer simulations, and can provide a basis for the complex nonlinear sensory data classification and retrieval.
Year
DOI
Venue
2010
10.1109/ICNSC.2010.5461608
ICNSC
Keywords
Field
DocType
wsn,wireless multimedia sensor network nodes,wireless sensor network,data analysis,locally linear approximating algorithm,data visualisation,visualization algorithm,direct gradients estimation,wireless sensor networks,multimedia communication,computer simulations,face,application software,data visualization,capacitive sensors,data mining,information retrieval,sensor network,image sensors,computer simulation,linear approximation,satisfiability,approximation algorithms
Linear approximation,Approximation algorithm,Data visualization,Dimensionality reduction,Nonlinear system,Visualization,Computer science,Algorithm,Data classification,Wireless sensor network
Conference
Volume
Issue
ISBN
null
null
978-1-4244-6450-0
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Xin Song1156.88
Cuirong Wang211015.54