Computer Science
8 years ago

New method visualizes individual differences in clustering for better decision-making.

Elsevier eBooks
A HIERARCHICAL CLUSTERING METHOD FOR DISSIMILARITY MATRICES WITH INDIVIDUAL DIFFERENCES
Tadashi Imaizumi

Paper Summary

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The article discusses a method for grouping data based on their differences. By using a tree diagram, researchers can visualize how objects are related to each other. This method involves fitting a tree structure to different parts of the data and stopping when the differences between groups are large enough. The researchers found that this approach can help create a new way to compare objects based on individual differences.