Star Coordinates is an important visualization method able to reveal patterns and groups
from multidimensional data while still showing the impact of data attributes in the formation …

Visual analytics tools are of paramount importance in handling high-dimensional datasets
such as those in our turbine performance assessment. Conventional tools such as RadViz …

RadViz contributes to multidimensional analysis by using 2D points for encoding data
elements and interpreting them along the original data dimensions. For these characteristics …

Despite the tremendous advances in machine learning (ML), training with imbalanced data
still poses challenges in many real‐world applications. Among a series of diverse …

RadViz plots are commonly used to represent multidimensional data because they use the
familiar notion of 2D points for encoding data elements, displaying the original data …

As a consequence of the current capabilities of collecting and storing data, a data set of
many attributes frequently reflects more than one phenomenon. Understanding the role of …

RadViz is one of the few methods in Visual Analytics able to project high-dimensional data
and explain formed structures in terms of data variables. However, RadViz methods have …

High dimensional parameter space optimization is crucial in many applications. The
parameters affecting this performance can be both numerical and categorical in their type …

(1) Background: The Electronic Medical Record system, which is a digital medical record
management architecture, is critical for reliable medical research. It facilitates the …

There are many applications where users seek to explore the impact of the settings of
several categorical variables with respect to one dependent numerical variable. For …