Frequency Based Index Estimating the Subclusters' Connection Strength
This provides a complementary tool for U-matrix visualization to aid in market segmentation and financial decisions, but it is incremental as it builds on existing index notions.
The paper tackles the problem of estimating connection strength between subclusters in clustering by proposing a frequency coefficient based on the Sen-Shorrocks-Thon poverty index, tested on an artificial dataset and compared to the Unified-distance matrix method.
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.