]>Developing Prognostic Systems of Cancer Patients by Ensemble Clustering : Algorithm 1
( 1 ) Given 𝑁 , 𝐾 1 , and 𝐾 2 , run the PAM clustering method 𝑁 times with each 𝐾 randomly chosen from [ 𝐾 1 , 𝐾 2 ] .
( 2 ) Construct the pairwise dissimilarity measure d i s ( 𝐱 𝑖 , 𝐱 𝑗 ) by using the (2).
( 3 ) Cluster the 𝑛 objects by applying a linkage method and the dissimilarity measure d i s ( 𝐱 𝑖 , 𝐱 𝑗 ) from Step 2 .
Algorithm 1: Ensemble algorithm of clustering of cancer data.