Visual analysis of multidimensional data requires expressive and effective ways to reduce
data dimensionality to encode them visually. Multidimensional projections (MDP) figure …

In this work, we propose an interactive visual approach for the exploration and formation of
structural relationships in embeddings of high-dimensional data. These structural …

Probabilistic-based non-linear dimensionality reduction (PB-NL-DR) methods, such as t-
SNE and UMAP, are effective in unfolding complex high-dimensional manifolds, allowing …

Multidimensional Projection is a fundamental tool for high-dimensional data analytics and
visualization. With very few exceptions, projection techniques are designed to map data from …

With the surge of images in the information era, people demand an effective and accurate
way to access meaningful visual information. Accordingly, effective and accurate …

In various scientific and industrial domains, analyzing multivariate spatial data, ie, vectors
associated with spatial locations, is common practice. To analyze those datasets, analysts …

Extracting and analyzing crime patterns in big cities is a challenging spatiotemporal
problem. The hardness of the problem is linked to two main factors, the sparse nature of the …

We present a visual analysis method for interactively recomposing a large number of photos
based on example photos with high-quality composition. The recomposition method is …

In the biomedical domain, taxonomies organize the acquisition modalities of scientific
images in hierarchical structures. Such taxonomies leverage large sets of correct image …

Multidimensional Projection techniques can help users to find patterns in multidimensional
data. However, while the visualization literature is rich in techniques designed to improve …