  In this paper, a frequency coefficient based on the Sen-Shorrocks-Thon (SST)
poverty index notion is proposed. The clustering SST index can be used as the
method for determination of the connection between similar neighbor
sub-clusters. Consequently, connections can reveal existence of natural
homogeneous. Through estimation of the connection strength, we can also verify
information about the estimated number of natural clusters that is necessary
assumption of efficient market segmentation and campaign management and
financial decisions. The index can be used as the complementary tool for the
U-matrix visualization. The index is tested on an artificial dataset with known
parameters and compared with results obtained by the Unified-distance matrix
method.
