gauge if desired the professional can also access additional information about the historical accounts that the system has analyzed at u201c about these results u201d this may provide information for example about the number of firms professionals or accounts in the sampled universe to understand how the fee range in fig5 is arrived at a more detailed explanation of the nearest neighbor analysis follows the nearest neighbor analysis is used to solve the problem of determining what set of historical accounts are u201c similar u201d to the input account this analysis has several layers u2014 distance between accounts plotted in multidimensional hyperspace improvements on the distance measurement to account for standard deviation i e normalize the distance measurement over the various dimensions weighting to prioritize certain dimensions over others and filters and constraints to add certain business rules to the analysis to identify similar accounts a variety of dimensions of u201c similarity u201d can be considered including 1 total account assets 2 percentage of account assets in equity 3 percentage of account assets in fixed income 4 percentage of account assets in mutual funds 5 percentage of account assets in cash 6 advisor 39 s book total assets 7 advisor 39 s book total revenue 8 advisor 39 s length of service 9 advisor 39 s recognition level 10 total relationship or household assets 11 relationship assets in fee based accounts these can be viewed as coordinates in a multidimensional hyperspace in which the input proposed account represents a u201c point u201d looking at only three of these measures a sample account is plotted in a three dimensional grid in fig3 a when two or more points are plotted the distance between any two of.