English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The paper deals with the analysis of the similarity’s rate of 81 universities and other schools of university’s type in EU all of which have in this consideration the same status. From each state of the European Union, three largest universities according to the number of students criterion were chosen (when such an amount of universities was existing in the considered state) and added to our database. We have used hierarchical clustering methods based on the simple join of several clusters as well as methods of explorative analysis presented by some profile diagrams in order to compare these universities. As the space analysis created in the geographical information system environment is joined here with the methods of mathematical statistics, we consider the paper being important both from the interdisciplinary and the statistical-environment analysis point of view. It points out to the fact that multi-dimensional statistical methods methods methods can be used also at interdisciplinary level.

An utilization of the GIS and multidimensional statistical methods on the chosen EU universities: Similarities assessment