A collection of various visualizations methods is provided. With regards to high-dimensional data the heat map and silhouette plot for grouped data,visualizations of the distribution of distances, the scatter-density plot for two variables,the Shepard density plot as well as the Bland-Altman plot are presented here. For a classification of countries, a map of the world or Germany can be visualized. 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset ...

Artifacts using DataVisualizations (2)
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Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of ...
Last Release on May 1, 2022
Algorithms implementing populations of agents that interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intelligence. Here, a swarm system called databionic swarm (DBS) is introduced. ...
Last Release on May 1, 2022
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