This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

Colormaps are a vital method for users to gain insights into data in a visualization. With a
good choice of colormaps, users are able to acquire information in the data more effectively …

We present a novel dynamic graph visualization technique based on node-link diagrams.
The graphs are drawn side-byside from left to right as a sequence of narrow stripes that are …

In recent years, many dimensionality reduction (DR) algorithms have been proposed for
visual analysis of multidimensional data. Given a set of n-dimensional observations, such …

We present a method to interactively explore multiple attributes in trajectory data using
density maps, ie, images that show an aggregate overview of massive amounts of data. So …

This paper provides an overview of uncertainty visualization in general, along with specific
examples of applications in bioinformatics. Starting from a processing and interaction …

Abstract Systems projecting a continuous n‐dimensional parameter space to a continuous m‐
dimensional target space play an important role in science and engineering. If evaluating …

Most multidimensional projection techniques rely on distance (dissimilarity) information
between data instances to embed high-dimensional data into a visual space. When data are …