VISUALIZATION METHODS
Mehmed M. Kantardzic · 2019
This chapter recognizes the importance of a visual-perception analysis in humans to discover appropriate data-visualization techniques. It distinguishes between scientific-visualization and information-visualization techniques and discusses the basic characteristics of geometric, icon-based, pixel-oriented, and hierarchical techniques in visualization of large data sets. The chapter explains the methods of parallel coordinates and radial visualization for n-dimensional data sets and analyzes the requirements for advanced visualization systems in data mining. Self-organizing map algorithm may use different data-visualization techniques including a cell or U-matrix visualization, projections, visualization of component planes, and 2D and 3D surface plot of distance matrices. Visualization has been used routinely in data mining as a presentation tool to generate initial views, navigate data with complicated structures, and convey the results of an analysis. Visual data exploration techniques are designed to take advantage of the powerful visual capabilities of human beings.