interpretable. The authors cut the linkage tree formed while performing the hierarchical clustering of the User-Concerns, at … authors present a method that uses topic modeling techniques to discover a large number of topics and applies hierarchical … clustering to generate a much smaller number of interpretable User-Concerns. These User-Concerns are further compared with topics …

categorical variables are proposed: iterative relocation algorithm, ascendant and divisive hierarchical clustering. The proposed …

asymmetric distributions, and apply the function to hierarchical clustering. …

.g. hierarchical clustering algorithms in order to determine an input data set's partition consisting of sets of producers that are …