K-means Based Processing of GPS Data
We propose here a new error correction algorithm for GPS (Global positioning system) receivers called SKMW, which processes GPS coordinates with smoothing, k-means, mean, and weighted average in turn. We also propose values for parameters to be used with the algorithm, and analyze their performance...
Main Authors: | Meng Du, Xinyuan Huang, Bin Qiu |
---|---|
Format: | Article |
Language: | English |
Published: |
IFSA Publishing, S.L.
2014-01-01
|
Series: | Sensors & Transducers |
Subjects: | |
Online Access: | http://www.sensorsportal.com/HTML/DIGEST/january_2014/Vol_163/P_1814.pdf |
Similar Items
-
An Automatic K-Means Clustering Algorithm of GPS Data Combining a Novel Niche Genetic Algorithm with Noise and Density
by: Xiangbing Zhou, et al.
Published: (2017-12-01) -
Performance Evaluation of Simple K -Mean and Parallel K -Mean Clustering Algorithms: Big Data Business Process Management Concept
by: Ali, S., et al.
Published: (2022) -
K-Means Clustering With Incomplete Data
by: Siwei Wang, et al.
Published: (2019-01-01) -
Soil data clustering by using K-means and fuzzy K-means algorithm
by: E. Hot, et al.
Published: (2016-06-01) -
PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
by: Fitria Febrianti, et al.
Published: (2016-10-01)