The percolation method for an efficient grouping of data

摘要

This article presents a method for clustering data. The method is based upon the concept of “percolation” which is a progressive formation of clusters that starts with points having a maximum “density”. Comparisons with principal component analysis, hierarchical classification, and other methods, show why the P.A.P. method (Progressive Assimilation and Percolation) is superior and safer than most known methods.