8. A computer-implemented method for inclusion-based electronically stored information item cluster visual representation, comprising the steps of: maintaining a set of reference electronically stored information items; selecting from the set a subset of the electronically stored information items, each of the reference electronically stored information items in the subset associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes; combining the subset with a set of uncoded electronically stored information items, each of the uncoded electronically stored information items associated with a visual representation different from the visual representations of the classification codes; grouping the combined electronically stored information items into clusters, further comprising: converting each of the combined electronically stored information items into one or more tokens; generating a score vector for each of the electronically stored information items based on the tokens associated with that electronically stored information item, further comprising: scoring each of the tokens; generating paired values for each of the combined electronically stored information items comprising paring the token with the score associated with that token; and for each of the combined electronically stored information items, ordering the paired values along a vector for that combined electronically stored information item to create the score vector for that electronically stored information item, wherein the tokens are ordered along the vector based on a frequency of the tokens within that combined electronically stored information item; and comparing the score vector for each of the combined electronically stored information items, wherein the clustering is performed based on the comparison; and visually representing each of the clusters comprising displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster, wherein the steps are performed on a suitably-programmed computer.
8. A computer-implemented method for inclusion-based electronically stored information item cluster visual representation, comprising the steps of: maintaining a set of reference electronically stored information items; selecting from the set a subset of the electronically stored information items, each of the reference electronically stored information items in the subset associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes; combining the subset with a set of uncoded electronically stored information items, each of the uncoded electronically stored information items associated with a visual representation different from the visual representations of the classification codes; grouping the combined electronically stored information items into clusters, further comprising: converting each of the combined electronically stored information items into one or more tokens; generating a score vector for each of the electronically stored information items based on the tokens associated with that electronically stored information item, further comprising: scoring each of the tokens; generating paired values for each of the combined electronically stored information items comprising paring the token with the score associated with that token; and for each of the combined electronically stored information items, ordering the paired values along a vector for that combined electronically stored information item to create the score vector for that electronically stored information item, wherein the tokens are ordered along the vector based on a frequency of the tokens within that combined electronically stored information item; and comparing the score vector for each of the combined electronically stored information items, wherein the clustering is performed based on the comparison; and visually representing each of the clusters comprising displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster, wherein the steps are performed on a suitably-programmed computer. 11. The method according to claim 8 , further comprising: determining a number of the reference electronically stored information items selected into the subset based one or more reference factors, the reference factors comprising a size of a review project for which the subset is selected, an average size of the reference electronically stored information items, types of the classification codes, and a number of the reference electronically stored information items associated with each of the classification codes.