| 基于Bagging的组合k-NN预测模型与方法 |
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| 引用本文： | 何亮,宋擒豹,海振,沈钧毅.基于Bagging的组合k-NN预测模型与方法[J].控制与决策,2010,25(1). |
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| 作者姓名： | 何亮 宋擒豹 海振 沈钧毅 |
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| 作者单位： | 西安交通大学电子与信息工程学院,西安,710049 |
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| 基金项目： | 国家自然科学基金重大研究计划项目(90718024);;国家863计划项目(2006AA01Z183) |
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| 摘 要： | k-近邻方法基于单一k值预测,无法兼顾不同实例可能存在的特征差异,总体预测精度难以保证.针对该问题,提出了一种基于Bagging的组合k-NN预测模型,并在此基础上实现了具有属性选择的Bgk-NN预测方法.该方法通过训练建立个性化预测模型集合,各模型独立生成未知实例预测值,并以各预测值的中位数作为组合预测结果.Bgk-NN预测可适用于包含离散值属性及连续值属性的各种类型数据集.标准数据集上的实验表明,Bgk-NN预测精度较之传统k-NN方法有了明显提高.
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| 关 键 词： | 近邻预测 Bagging 组合方法 |
Bagging-based ensemble model and algorithm of k-NN prediction |
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| HE Liang,SONG Qin-bao,HAI Zhen,SHEN Jun-yi.Bagging-based ensemble model and algorithm of k-NN prediction[J].Control and Decision,2010,25(1). |
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| Authors: | HE Liang SONG Qin-bao HAI Zhen SHEN Jun-yi |
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| Affiliation: | School of Electronics and Information Engineering/a>;Xi'an Jiaotong University/a>;Xi'an 710049/a>;China |
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| Abstract: | The existing k-nearest neighbor (k-NN) algorithm predicts in terms of a fixed single k value without considering the diversity of various unknown instances,thus the prediction perpformance can hardly be ensured.Therefore,both an ensemble model of k-NN prediction based on bagging principle and a Bgk-NN prediction algorithm with attributes selection are proposed in this paper.In the novel Bgk-NN algorithm,a set of diverse base k-NN predictors are trained,and the unknown instance is predicted independently by ... |
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| Keywords: | k-NN predictor Bagging Ensemble method |
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