Визуальная аналитика в задаче трикластеризации данных социальных сетей
Triclustering is an outgrowth of Formal Concept Analysis intented to detect groups of objects with similar properties (clusters) in a context of three sets of entities. In case of social network analysis,
for instance, these sets might be users, their interests and events they take part in. Triclustering here can help to detect users with similar interests and make them recommendations on events. This article describes a specific triclustering algorithm and a prototype of visual analytics platform for working with obtained clusters.