Methods and Techniques in Data Visualization Model

To meet the requirements of the high-dimensional data processing in information field, this paper attempts to explore the methods and techniques of clustering data visualization for general data resources. Through dimensionality reduction and visual mapping of high-dimensional data, this paper established a visualization system model which will visualize the influencing factors. The visual system model approach was tested by using the IRIS dataset from the University of California Irvine (UCL) database. The results demonstrate that this model can effectively analyze the data set, visualize the features of IRIS data in real time and achieve the expected results.