Efficient Privacy Preserving KMeans Clustering
This paper introduces an efficient privacypreserving protocol for distributed Kmeans clustering over an arbitrary partitioned data, shared among N parties. Clustering is one of the fundamental algorithms used in the field of data mining. Advances in data acquisition methodologies have resulted in collection