An Automatic K-Means Clustering Algorithm of GPS Data Combining a Novel Niche Genetic Algorithm with Noise and Density
- DOI
- 10.3390/ijgi6120392
- Published
- 12
- Container
- ISPRS International Journal of Geo-Information
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ijgi6120392,
title = {An Automatic K-Means Clustering Algorithm of GPS Data Combining a Novel Niche Genetic Algorithm with Noise and Density},
author = {Xiangbing Zhou and Jianggang Gu and Shaopeng Shen and Hongjiang Ma and Fang Miao and Hua Zhang and Huaming Gong},
year = {2017},
journal = {ISPRS International Journal of Geo-Information},
doi = {10.3390/ijgi6120392},
url = {https://doi.org/10.3390/ijgi6120392}
}RIS
TY - JOUR TI - An Automatic K-Means Clustering Algorithm of GPS Data Combining a Novel Niche Genetic Algorithm with Noise and Density AU - Xiangbing Zhou AU - Jianggang Gu AU - Shaopeng Shen AU - Hongjiang Ma AU - Fang Miao AU - Hua Zhang AU - Huaming Gong PY - 2017 JO - ISPRS International Journal of Geo-Information DO - 10.3390/ijgi6120392 UR - https://doi.org/10.3390/ijgi6120392 ER -
APA
Zhou, X., Gu, J., Shen, S., Ma, H., Miao, F., Zhang, H., & Gong, H. (2017). An Automatic K-Means Clustering Algorithm of GPS Data Combining a Novel Niche Genetic Algorithm with Noise and Density. ISPRS International Journal of Geo-Information. https://doi.org/10.3390/ijgi6120392
Source records
- doaj · retrieved 2026-09-25T12:36:05.337Z