面向聚类的平面反射数据扰动方法

面向聚类的数据隐藏通常使用数据扰动技术防止敏感信息泄露。针对现有的面向聚类的数据扰动方法隐私保护度低的问题，提出一种基于平面反射的数据扰动方法，将发布对象的全部属性两两配对构成平面上的点，再随机选择一条直线，作每对属性关于直线的对称点，转换后的数据即为发布的数据。实验结果表明，这种方法具有较好的隐私保护度和聚类可用性，且对高维数据有良好的适应性。

Planar reflection method of data perturbation for clustering

Data hiding for clustering usually uses data perturbation technology to prevent sensitive information disclosure. In order to solve the problem that the privacy protection of existing data-perturbation method for clustering is low, this paper proposes a data perturbation method based on plane reflection. All the properties of the published object are paired to form the points on the plane, then randomly select a straight line for each pair of symmetry points on the line, so the converted data is the data to be published. The experimental results show that this method has good privacy protection and clustering usability, and has good adaptability to high dimensional data.