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RadViz: Improvements on Radial-Based Visualizations++
2019
Informatics
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To address these limitations, we propose RadViz++, a set of techniques for interactive exploration of high-dimensional data using a RadViz-type metaphor. ...
RadViz is one of the few methods in Visual Analytics able to project high-dimensional data and explain formed structures in terms of data variables. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/informatics6020016
fatcat:mhlckpeedjdnlfrmikoyhlzo2m
Multidimensional Visualization Tools For Analysis Of Expression Data
2009
Zenodo
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We survey and show some of the multidimensional visualization tools in the process of data exploration, such as parallel coordinates and radviz and we extend them by combining them with the self-organizing ...
Large amounts of multidimensional data resulting from the high-throughput technologies are not completely served by biostatistical techniques and are usually complemented with visual, knowledge discovery ...
Statisticians have used majority of these tools for a long time, but modern visualization tools and techniques that are targeted towards high-dimensional data remain underutilized, but not due to the usability ...
doi:10.5281/zenodo.1074635
fatcat:uabe5s5i5rfqrk3x4xwtoueg7m
Improving the visual analysis of high-dimensional datasets using quality measures
2010
2010 IEEE Symposium on Visual Analytics Science and Technology
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In this paper we propose new quality measures for three popular visualization methods: Radviz, Pixel-Oriented Displays and Table Lenses . ...
Modern visualization methods are needed to cope with very highdimensional data. Efficient visual analytical techniques are required to extract the information content in these data. ...
Visual Analytics. ...
doi:10.1109/vast.2010.5652433
dblp:conf/ieeevast/AlbuquerqueELTM10
fatcat:gyxkn6izyrg6javyoks7j5ufq4
Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models
[chapter]
2005
Lecture Notes in Computer Science
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We argue that a much simpler technique that directly finds visualizations with clear separation of diagnostic classes may be used instead. ...
Our findings and case studies are based on several recently published data sets. ...
Twenty best genes from the scatterplot visualizations for the leukemia data set (a) and from the radviz visualization for the SRBCT data set (b). ...
doi:10.1007/11527770_68
fatcat:zutj7zlvuramtaehkewwkdygkq
FreeViz—An intelligent multivariate visualization approach to explorative analysis of biomedical data
2007
Journal of Biomedical Informatics
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Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. ...
The paper gives mathematical foundations of FreeViz, and presents its utility on various biomedical data sets. ...
The third, rather small class of fibrosis is distinguished by having a high value for lym-dimin. This was confirmed by plotting the histogram for that feature. ...
doi:10.1016/j.jbi.2007.03.010
pmid:17531544
fatcat:5ayhvommsnckxaaaefb3pweexi
RadCloud: Visualizing Multiple Texts with Merged Word Clouds
2014
2014 18th International Conference on Information Visualisation
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The approach has been implemented in an interactive text visualization tool and its usefulness is illustrated by an example. ...
Inspired by the RadViz approach, the words are radially arranged in an overlap-free layout. The text sources are indicated by the spatial word arrangement and stacked bar charts. ...
Corrected Word Positions RadViz was designed for the representation of small data points. ...
doi:10.1109/iv.2014.72
dblp:conf/iv/BurchLBRSW14
fatcat:p3aoxv2wfvei7dlukh42ddt4gm
Age-specific profiles of tissue-level composition and mechanical properties in murine cortical bone
2012
Bone
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A retrospective data mining approach was implemented using non-linear multidimensional visualization and classification to identify spectroscopic and nanoindentation metrics that best discriminated bone ...
The ability to classify the specimens into the correct age group increased by using combinations of Raman and nanoindentation variables (86-96% accuracy) as compared to using individual measures (59-79% ...
Raghu Kainkaryam for valuable advice throughout the study. This work was supported by National Institutes of Health Grants No. R01-AR052010 and R01-AR056657 (Morris), DoD/US Army Grant No. ...
doi:10.1016/j.bone.2011.12.026
pmid:22285889
pmcid:PMC3299845
fatcat:awxl6327j5dshamphqtfg7tz5y
Smooth Map Deformation Using Integral Images
2020
Journal of WSCG
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Our technique is suitable for use in highly interactive geospatial data exploration systems due to its algorithmic and computational efficiency. ...
Deformation of geographical maps is a powerful tool used in geospatial data exploration systems. ...
Geo-spatial data visualization is an example of an application field with high demands on handling data at different spatial scales. ...
doi:10.24132/jwscg.2020.28.3
fatcat:cmfqt747pjg37nhcsfufi7tm3y
Quality Metrics for Information Visualization
2018
Computer graphics forum (Print)
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We organize our corpus of reviewed research papers along the data types established in the information visualization community: multi-and high-dimensional, relational, sequential, geospatial and text data ...
The computation of a visualization's quality and usefulness ranges from measuring clutter and overlap, up to the existence and perception of specific (visual) patterns. ...
Acknowledgments The authors would like to thank the German Research Foundation (DFG) for their financial support within the projects A03, B01, B02, and Task Force 1 of SFB/Transregio 161, and the Priority ...
doi:10.1111/cgf.13446
fatcat:775eyicidnfbnemnjznmlt2cqm
Graphs from Features: Tree-Based Graph Layout for Feature Analysis
2020
Algorithms
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Feature Analysis has become a very critical task in data analysis and visualization. ...
We evaluate those groups and relationships in terms of their effectiveness in exploring feature sets for data analysis. ...
Acknowledgments: We would like to sincerely thank Brian Pjanowsky for the Costa Rica sounds and Fabio Felix Dias for the data extraction on that dataset. ...
doi:10.3390/a13110302
fatcat:6ordk77vhrbm7hf6s3fuhlixcm
Visual Neural Decomposition to Explain Multivariate Data Sets
[article]
2020
arXiv
pre-print
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Investigating relationships between variables in multi-dimensional data sets is a common task for data analysts and engineers. ...
We apply our method to artificial and real-world data sets to show its utility. ...
In particular, we would like to thank Jochen Rivoir from Advantest for giving us access to the chip test data set and for his valuable feedback. ...
arXiv:2009.05502v1
fatcat:lylkanjpdvbclapfseejydpuo4
Visualizing High-Dimensional Data: Advances in the Past Decade
2017
IEEE Transactions on Visualization and Computer Graphics
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Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields ...
Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization over the past 15 years. ...
Acknowledgments The first two authors contributed equally to this work. ...
doi:10.1109/tvcg.2016.2640960
pmid:28113321
fatcat:3xb2npz44fgxzpfueum5hhso5u
Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization
2013
IEEE Transactions on Evolutionary Computation
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First, we use RadViz and exploit interpretations of barycentric coordinates for convex polygons and simplices to map a mutually non-dominating set to the interior of a regular convex polygon in the plane ...
As many-objective optimisation algorithms mature the problem owner is faced with visualising and understanding a set of mutually non-dominating solutions in a high dimensional space. ...
It represents the data as a nonlinear mapping to the high-dimensional data space of a topographically ordered low-dimensional latent space. ...
doi:10.1109/tevc.2012.2225064
fatcat:gh3ktw24bvfbloslxeci4tnjcu
From visual data exploration to visual data mining: A survey
2003
IEEE Transactions on Visualization and Computer Graphics
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We survey work on the different uses of graphical mapping and interaction techniques for visual data mining of large data sets represented as table data. ...
This includes both visual data exploration and visually expressing the outcome of specific mining algorithms. ...
Another high-dimensional geometric-based technique is the Radial Coordinate Visualization, RadViz [45] . ...
doi:10.1109/tvcg.2003.1207445
fatcat:g6lrnvirmfdy7k55c6w65p3fpi
Reagent-free Raman and quantitative phase imaging offer a unique morpho-molecular platform for recognition of malignancy and stages of B-cell acute lymphoblastic leukemia
[article]
2021
bioRxiv
pre-print
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Overall, our study provides a rationale for employing this hybrid modality to screen leukemia cells using the widefield QPI and using Raman microscopy for accurate differentiation of early and late-stage ...
This contrast-free and rapid diagnostic tool exhibits great promise for clinical diagnosis and staging of leukemia in the near future. ...
Using Radviz radial visualization tool in . ...
doi:10.1101/2021.01.25.428006
fatcat:kmpgynby5veipoj5ysx75mweua
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