The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …

The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

Information visualisation is about gaining insight into data through a visual representation.
This data is often multivariate and increasingly, the datasets are very large. To help us …

Flow cytometry and cell sorting are critical tools in stem cell research. Recent advances in
flow cytometric hardware, reagents, and software have synergized to permit the stem cell …

We explore how to rigorously evaluate multidimensional visualizations for their ability to
support decision making. We first define multi-attribute choice tasks, a type of decision task …

A standard approach for visualizing multivariate networks is to use one or more
multidimensional views (for example, scatterplots) for selecting nodes by various metrics …

Parallel coordinates are an established technique to visualize high-dimensional data, in
particular for data mining purposes. A major challenge is the ordering of axes, as any axis …

Scatterplots are among the most widely used visualization techniques. Compelling
scatterplot visualizations improve understanding of data by leveraging visual perception to …

Parallel coordinate plots (PCPs) are a well‐known visualization technique for viewing
multivariate data. In the past, various visual modifications to PCPs have been proposed to …

An ongoing challenge for information visualization is how to deal with over-plotting forced by
ties or the relatively limitedvisual field of display devices. A popular solution is to represent …