English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Based on methods of feature extraction for images and vocabulary exploration for text, we can apply point placement techniques to multidimensional data in order to map data sets into visual spaces, assisting users on data analysis and interpretation. Some of these methods build similarity trees, imposing a hierarchy on the relationship between the characteristics extracted from data. In an exploratory analysis environment, it is natural to use methods and techniques capable of manipulating and interacting data quickly and efficiently. In this context, this paper aims to implement and apply known techniques of tree navigation and interaction in the context of point placement visualizations. In particular the NJ and MST techniques, implemented and successfully used in the system PEx-Image, are the main focus for helping data exploration through Radial and Hyperbolic Layouts, implemented with exploration tools. This work implements Radial and Hyperbolic layouts to support exploration of NJ and MST views.

Uso de técnicas de navegação em árvores para auxílio na visualização de dados multidimensionais