| 基于高维几何特征的孤立点检测算法 |
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| 引用本文： | 朱玉全,刘晟,孙金津. 基于高维几何特征的孤立点检测算法[J]. 江苏大学学报(自然科学版), 2011, 32(1): 84-88. DOI: 10.3969/j.issn.1671-7775.2011.01.018 |
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| 作者姓名： | 朱玉全 刘晟 孙金津 |
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| 作者单位： | 江苏大学,计算机科学与通信工程学院,江苏,镇江,212013 |
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| 基金项目： | 国家科技型中小企业技术创新基金资助项目(09C26213203797); 江苏省高校自然科学重大基金资助项目(08KJA520001); 江苏省“青蓝工程”项目(BK2010331); 江苏省六大人才高峰项目(07-E-025) |
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| 摘 要： | 针对孤立点检测算法不能较好地模拟人工检测过程、未充分考虑待测数据周围样本分布的问题,提出了一种孤立点检测算法DD-SVDD.该算法综合考虑待测样本与目标样本之间的距离,以及待测样本所在区域样本的分布信息,结合距离和平均密度来确定高维特征空间中决策边界附近待测数据的类别.在训练阶段,考虑了决策边界附近目标训练样本的分布,...
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| 关 键 词： | 孤立点检测 支持向量数据描述 半径延伸 平均密度 人工检测 |
An outlier detection algorithm based 0n hyper-geometric feature |
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| Zhu Yuquan,Liu Sheng,Sun Jinjin. An outlier detection algorithm based 0n hyper-geometric feature[J]. Journal of Jiangsu University:Natural Science Edition, 2011, 32(1): 84-88. DOI: 10.3969/j.issn.1671-7775.2011.01.018 |
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| Authors: | Zhu Yuquan Liu Sheng Sun Jinjin |
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| Affiliation: | Zhu Yuquan,Liu Sheng,Sun Jinjin(School of Computer Science and Telecommunications Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China) |
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| Abstract: | To solve the problem that the manual inspection process was badly simulated and the issues were not fully considered in the outlier detection,such as the distribution of the samples surrounding the data to be tested,an outlier detection algorithm called DD-SVDD was proposed.In this algorithm,the distance between the test samples and the target samples and the distribution information of the test sample region were all considered.The distance and the average density were taken into account to determine the t... |
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