Ranking of grouped patent indicator dimensions

As discussed in sections \ref{697753}\ref{387734}, and \ref{814495} leave-p-out cross-validation techniques provide a means to rank those bibliometric indicator subsets that have been identified as producing a significant match to the expected technology groupings. The first stage of this process consists of generating lists of all possible training technology combinations and corresponding test technology combinations based on leaving one technology out at a time. The procedure then progresses in a similar format to the initial calculation of distances between each pair of technology time series as shown in Fig. \ref{497938}, except that this time distance measures are only calculated between pairs of training technologies, and that this process is repeated for every possible combination of training technologies that are available. As such, the output from this process is now an ij x 1023 x n distance matrix, where i and j now specify the current training technology pairing being considered, and n represents the number of training combinations that can be used. This is illustrated in Fig. \ref{256478} and Fig. \ref{361537}: