Research Article

Highly Secure Privacy-Preserving Outsourced k-Means Clustering under Multiple Keys in Cloud Computing

Algorithm 1

k-means clustering.
Input: : m-dimensional data records, where ;
  k: predefined number of clusters;
  I: predefined max number of iterations;
Begin: Pick k cluster centers , ,
  for to I do
   if {different k clusters compared with the case }
    (1) Distribute each data record to the cluster with the minimum among for
    (2) Update the cluster center to the average values of data records in for
   end if
  end for
Output: k clusters