| 基于模糊聚类的方位标测量数据预处理方法 |
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| 引用本文： | 段一萍.基于模糊聚类的方位标测量数据预处理方法[J].光电技术应用,2007,22(6):67-70. |
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| 作者姓名： | 段一萍 |
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| 作者单位： | 92941部队,辽宁,葫芦岛,125000 |
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| 摘 要： | 针对方位标测量数据手工预处理方式工作强度大、效率低和出错率高的问题,根据测量数据一般多数集中于真值附近的特性,提出了一种基于模糊聚类技术的方位标测量数据预处理方法,通过反复聚类自动挑选出符合要求的方位标数据.实验证明:此种方法挑选效率高,挑选的数据与真值吻合程度高,并具有较高的抑制野点作用.
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| 关 键 词： | 方位标 测量数据 模糊聚类 预处理 异常值 |
| 文章编号： | 1673-1255（2007）06-0067-03 |
| 收稿时间： | 2007-10-10 |
| 修稿时间： | 2007年10月10 |
A Preprocessing Method for Fixed Mark Measurement Data Based on Fuzzy Clustering |
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| Duan Yi-ping.A Preprocessing Method for Fixed Mark Measurement Data Based on Fuzzy Clustering[J].Electro-Optic Technology Application,2007,22(6):67-70. |
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| Authors: | Duan Yi-ping |
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| Abstract: | In order to solve the problems in the method of manual preprocessing for fixed mark measurement data, such as great workload, low efficiency, and fallible and depending on the centralization rule of measurement data, a preprocessing method for fixed mark measurement data based on fuzzy clustering is presented. The method could pick up true data automatically by clustering repeatedly. The experimental results have proved that the method has the abilities of high efficiency, less distortion and better function to restrain outlier data. |
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| Keywords: | fixed mark measurement data fuzzy clustering preprocess outlier data |
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