The concept of reciprocal relationship (RR) bonds, conceived and developed as a tool in the knowledge discovery process, was reported and illustrated at this conference last year. Various distance metrics for measuring the distances in the database multi-dimensional attribute space were reviewed in this context identifying their relationship to the type of the attributes, depending on whether they are continuous valued, integer valued, or symbolic valued or a mix thereof. In this study, we explore the sensitivity of the bonding process to the metrics that are mostly suited to continuous valued attributes only, such as Euclidean, city-block, and chess board, using once again the previously used data set for illustrative purposes. This sensitivity to the metric employed is investigated at various stages of the RR bond delineation process. Results obtained under the different metrics are compared and fused to identify the degree of consensus that in turn can provide a measure of confidence in the results of the knowledge discovery process.