Visualisierung von mehrdimensionalen Clustern

Data-mining methods like clustering mainly create multidimensional data which is repre-sented as text. In most cases text-based representations lack a need of understandability. Thus it is recommended to use visual data preparation and information visualization techniques to overcome this circumstance. Whensoever there is too little information about data available and the processing goals are rather dim human interaction is needed. Therefore visualization techniques are used for data preparation in order to make them more understandable. Human interaction during the visualization process leads to individual and better results. This work’s objective is to evaluate existing visualization techniques concerning their ability to represent clustering results. Because of the multitude of visualization techniques an ade-quate method was chosen from each of the four big domains of data visualization.