Visualizing High-Dimensional Data: Advances in the Past Decade

Advances in stroke over the past decade.

Over the last decade, a number of advances in the care of stroke and TIA patients have been made. These advances include prevention, acute management, and recovery. Some of this work has occurred in Rhode Island. This review will focus on the revised definition of stroke and TIA; short-term risk of TIA; rapid management of TIA; targeted use of medication and lifestyle changes; monitoring for at...

Visualizing Large-scale and High-dimensional Data

We study the problem of visualizing large-scale and highdimensional data in a low-dimensional (typically 2D or 3D) space. Much success has been reported recently by techniques that first compute a similarity structure of the data points and then project them into a low-dimensional space with the structure preserved. These two steps suffer from considerable computational costs, preventing the st...

Beyond the Third Dimension: Visualizing High-Dimensional Data with Projections

RLE plots: Visualizing unwanted variation in high dimensional data

Unwanted variation can be highly problematic and so its detection is often crucial. Relative log expression (RLE) plots are a powerful tool for visualizing such variation in high dimensional data. We provide a detailed examination of these plots, with the aid of examples and simulation, explaining what they are and what they can reveal. RLE plots are particularly useful for assessing whether a ...

Visualizing Multi-Dimensional Data

High dimensional data visualization is very important in data analysts since it gives a direct and natural view of data. In this paper, we propose a method to visualize large amount of high dimensional data in a 3-D space. In our method, we divide the high dimension data into several groups of lower dimensional data first. Then, we use different icons to represent different groups. Initial expe...