1,721,051 research outputs found
Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data
No full textStudies of genome sequenced data are increasingly common in many domains. Technological advances enable detection of hundreds of thousands of biological entities in samples, resulting in extremely high dimensional data. To enable exploration and understanding of such data, efficient visual analysis approaches are needed that take domain and data specific requirements into account. Based on a survey with bioscience experts, this paper suggests a categorisation and a set of quality metrics to identify patterns of interest, which can be used as guidance in visual analysis, as demonstrated in the paper.EuroVis Workshop on Visual Analytics (EuroVA)Visual Analysis of High Dimensional and Temporal Dat
DualNetView: Dual Views for Visualizing the Dynamics of Networks
No full textThe force-directed layout is a popular visual method for revealing network structures, such as clusters and important vertices. However, it is not capable of representing temporal patterns, such as how clusters/communities evolve. Dynamic network visualizations trade the overall structures for temporal relationships. In this paper, we present a dual view framework for capturing both overall structures and temporal patterns within networks. The linked supplemental views utilize the strengths of both visualization techniques to provide useful insights into the given networks. To demonstrate the usefulness of our proposed dual views, we provide three use cases of dynamic networks: computer networks communications, activities of suspicious processes in computer systems, and social networks.EuroVis Workshop on Visual Analytics (EuroVA)Visual Analytics Methods and Application
A Calibrated Olfactory Display for High Fidelity Virtual Environments
Full text linkOlfactory displays provide a means to reproduce olfactory stimuli for use in virtual environments. Many of the designs produced by researchers, strive to provide stimuli quickly to users and focus on improving usability and portability, yet concentrate less on providing high levels of accuracy to improve the fidelity of odour delivery. This paper provides the guidance to build a reproducible and low cost olfactory display which is able to provide odours to users in a virtual environment at accurate concentration levels that are typical in everyday interactions; this includes ranges of concentration below parts per million and into parts per billion. This paper investigates build concerns of the olfactometer and its proper calibration in order to ensure concentration accuracy of the device. An analysis is provided on the recovery rates of a specific compound after excitation. This analysis provides insight into how this result can be generalisable to the recovery rates of any volatile organic compound, given knowledge of the specific vapour pressure of the compound
A Generic Model for Projection Alignment Applied to Neural Network Visualization
No full textDimensionality reduction techniques are popular tools for the visualization of neural network models due to their ability to display hidden layer activations and aiding the understanding of how abstract representations are being formed. However, many techniques render poor results when used to compare multiple projections resulted from different feature sets, such as the outputs of different hidden layers or the outputs from different models processing the same data. This problem occurs due to the lack of an alignment factor to ensure that visual differences represent actual differences between the feature sets and not artifacts generated by the technique. In this paper, we propose a generic model to align multiple projections when visualizing different feature sets that can be applied to any gradient descent-based dimensionality reduction technique. We employ this model to generate a variant of the UMAP method and show the results of its application.EuroVis Workshop on Visual Analytics (EuroVA)Intersecting Humans and A
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations
No full textCompact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. SpatialRugs apply 2D colormaps to visualize location mapped to a juxtaposed display. We explore the effect of various colormaps discussing perceptual limitations and introduce a custom color-smoothing method to mitigate distorted patterns of collective movement behavior.EuroVis Workshop on Visual Analytics (EuroVA)Visual Analytics Methods and Application
Enhanced Attribute-Based Explanations of Multidimensional Projections
No full textMultidimensional projections (MPs) are established tools for exploring the structure of high-dimensional datasets to reveal groups of similar observations. For optimal usage, MPs can be augmented with mechanisms that explain what such points have in common that makes them similar. We extend the set of such explanatory instruments by two new techniques. First, we compute and encode the local dimensionality of the data in the projection, thereby showing areas where the MP can be well explained by a few latent variables. Secondly, we compute and display local attribute correlations, thereby helping the user to discover alternative explanations for the underlying phenomenon. We implement our explanatory tools using an image-based approach, which is efficient to compute, scales well visually for large and dense MP scatterplots, and can handle any projection technique. We demonstrate our approach using several datasets.EuroVis Workshop on Visual Analytics (EuroVA)Visual Analysis of High Dimensional and Temporal Dat
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