Criteria of Modularity and Average Summary Similarity for Community Detection: Experimental Comparison

Student: Kuropatkina Larisa

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

Hierarchical clustering is widely used in some areas of data analysis. Despite some drawbacks, a great advantage of this algorithm is the constructed dendrogram. Using hierarchical clustering requires to specify the linkage criteria, the metric by which clusters are selected to join or split. This study provides experimental comparison of several popular criterions for agglomerative algorithm such as semiaverage criterion, modularity and summary criterion with a scale shift.

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