Research on Privacy Preserving Distributed Clustering Algorithm
Nan Ma · 2012
Privacy preserving data mining is to discover accurate rules and knowledge without precise access to the raw data.This paper focused on privacy preserving clustering algorithms mining in a distributed environment,and presented a fully homomorphic encryption algorithm based on distributed k-means(FHE-DK-MEANS algorithm).Theoretical analysis and experimental results show that FHE-DK-MEANS algorithm can provide better privacy and accuracy.