The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

This book is about using interactive and dynamic plots on a computer screen as part of data
exploration and modeling, both alone and as a partner with static graphics and non …

We propose to furnish visual statistical methods with an inferential framework and protocol,
modelled on confirmatory statistical testing. In this framework, plots take on the role of test …

We present an extension of the recently introduced Generalized Matrix Learning Vector
Quantization algorithm. In the original scheme, adaptive square matrices of relevance …

This article discusses a high‐dimensional visualization technique called the tour, which can
be used to view data in more than three dimensions. We review the theory and history …

Web-based social data analysis tools that rely on public discussion to produce hypotheses
or explanations of the patterns and trends in data, rarely yield high-quality results in practice …

The present work addresses the issue of accurate stochastic approximations in high-
dimensional parametric space using tools from uncertainty quantification (UQ). The basis …

This paper describes an R package which produces tours of multivariate data. The package
includes functions for creating different types of tours, including grand, guided, and little …

Identifying mechanisms that control molecular function is a significant challenge in
pharmaceutical science and molecular engineering. Here, we present a novel projection …