Translate to German language

translate this to German language: "The Self-Organizing Maps provide a wide range of visualization techniques to analyze high dimensional data. The majority of the methods are based on the static projection and only few techniques reveal the data dynamic in time, while the importance of understanding data evolution is gaining importance in many settings. The current Master Thesis provides investigation in exploring data streams by SOM algorithm, as well considering its capabilities and limitations with a particular focus on high-volume data and large-scale map processing. The fact that the SOM visualization techniques are usually scattered across independent libraries makes their integration and comparative application in data exploration difficult. Thus, the present paper provides the PySOMVis, an open-source software framework realized in Python and containing several visualization techniques, as well as presenting a novel SOMStreamVis approach for dynamic exploration, making together it as a powerful data exploration tool."