| 一种新的基于邻域筛选的分类算法研究 |
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| 引用本文： | 吕慧显,李京,叶蔓.一种新的基于邻域筛选的分类算法研究[J].青岛建筑工程学院学报,2010(5):73-76. |
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| 作者姓名： | 吕慧显 李京 叶蔓 |
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| 作者单位： | [1]青岛大学自动化工程学院,青岛266071 [2]青岛大学信息工程学院,青岛266071 |
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| 基金项目： | 青岛大学青年科研基金项目（2007005） |
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| 摘 要： | 基于邻域的概念,提出一种新的样本筛选方法用于分类问题.该方法在特征空间中根据邻域内的样本类别筛选出具有代表性的训练样本,计算其与测试样本的距离作为样本所属类别的判定依据.在UCI数据集和电力系统负荷预测的应用当中,与SVM和NC两种分类方法进行对比分析,证明该方法能够较好地提高样本识别率并降低时间复杂度.
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| 关 键 词： | 空间映射 邻域 样本筛选 电力系统负荷预测 |
A New Classification Algorithm Based on Neighborhood Filtering |
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| LV Hui-xiana,LI Jingb,YE Man.A New Classification Algorithm Based on Neighborhood Filtering[J].Journal of Qingdao Institute of Architecture and Engineering,2010(5):73-76. |
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| Authors: | LV Hui-xiana LI Jingb YE Man |
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| Affiliation: | b(a.College of Automation Engineering;b.College of Information Engineering,Qingdao University,Qingdao 266071,China) |
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| Abstract: | A new sample filtering method was proposed for classification problems,based on the idea of neighborhood.The representative samples were screened out according to their sorts in neighborhood,then the distance between the representative samples and the test samples was calculated to be the key of classifier.In the experiment,this new algorithm was compared with SVM and NC to validate the classification quality indeed increased and the time complication reduced. |
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| Keywords: | space mapping neighborhood sample filtering electric power system load forecasting |
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