Undergraduate students who enroll in a data science course already have exposure to visualization in different contexts, and hold beliefs about acceptable standards of visualization. When confronted with non-traditional examples of visualization, such as the ones found in the popular blog Dear Data http://www.dear-data.com/, their reactions are mixed. Some are surprised by the creativity of the...

Abstract The structural performance of the old existing RC building needs to be evaluated, as it is susceptible severe damage. There are two different types examine members’ capacity: destructive and non-destructive tests, with their drawbacks difficulties. main purpose this research establish integrated approach evaluating compressive strength beams by providing distribution visualization. Hen...

ProSAT (for Protein Structure Annotation Tool) is a tool to facilitate interactive visualization of non-structure-based functional annotations in protein 3D structures. It performs automated mapping of the functional annotations onto the protein structure and allows functional sites to be readily identified upon visualization. The current version of ProSAT can be applied to large datasets of pr...

In this paper, we propose the Kernel Laplacian Eigenmaps for nonlinear dimensionality reduction. This method can be extended to any structured input beyond the usual vectorial data, enabling the visualization of a wider range of data in low dimension once suitable kernels are defined. Comparison with related methods based on MNIST handwritten digits data set supported the claim of our approach....

Query refinement is a powerful tool for a document search and retrieval system. Lexical navigation—that is, the exploration of a network that expresses relations among all possible query terms—provides a natural mechanism for query refinement. An essential part of lexical navigation is the visualization of this network. This dynamic visualization problem is essentially one of incrementally draw...

A method of exploratory analysis and visualization of multi-dimensional gene expression data using Sammon's Non-Linear Mapping (NLM) is presented.