Privacy Preserving Clustering by Isometric Transformation
应用正交变换保护数据中的隐私信息*

This paper is concentrated on the issue of protecting the underlying attribute values when sharing data for clustering and systemically discuss the process which preserves privacy information by Orthogonal Transformation.On the basis of traditionally measure of security,this paper extends the measure of privacy preserving in Euclidean space and proposes a privacy preserving method called Orthogonal-Based Transformation(OBT).OBT doesn't depend on concrete data and it makes the process needn't a great deal computation which preserves privacy information by Orthogonal Transformation.