Search Results for author: Martijn Gösgens

Found 2 papers, 2 papers with code

Good Classification Measures and How to Find Them

1 code implementation NeurIPS 2021 Martijn Gösgens, Anton Zhiyanov, Alexey Tikhonov, Liudmila Prokhorenkova

Several performance measures can be used for evaluating classification results: accuracy, F-measure, and many others.

Classification

The Hyperspherical Geometry of Community Detection: Modularity as a Distance

1 code implementation6 Jul 2021 Martijn Gösgens, Remco van der Hofstad, Nelly Litvak

In that sense, modularity-based community detection methods can be seen as a subclass of a more general class of projection methods, which we define as the community detection methods that adhere to the following two-step procedure: first, mapping the network to a point on the hypersphere; second, projecting this point to the set of clustering vectors.

Clustering Community Detection

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