Additionally, using the heuristic information, this paper proposes a solving data noise problem method.
另外，利用这种启发式信息，提出了一种解决噪音问题的方法。
Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.
有效的离散化可以显著地提高系统对样本的聚类能力，增强系统对数据噪音的鲁棒性。
In this paper we mainly study the base stability analysis of GPS deformation monitoring and suppressing the surveying data noise by adaptive Kalman filtering.
本文主要研究GPS变形监测的基准稳定性分析及利用自适应卡尔曼滤波进行变形监测数据除噪。
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