Clutter Reduction in Multi-Dimensional Visualization by Using Dimension Reduction

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The volume of Big data is increasing in gigabytes day by day which are hard to make sense and difficult to analyze. The challenges of big data are capturing, storing, searching, sharing, analysis and visualization of these datasets. Big data leads to clutter in their visualization. Clutter is a crowded or disordered collection of graphical entities in information visualization. It can blur the structure of data. In this paper, the authors present the concept of clutter based dimension reduction. Their purpose is to reduce clutter without reducing information content or disturb data in any way. Dimension reduction is a technique that can significantly reduce the dimensions of the datasets.

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