A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
[article]
2018
arXiv
pre-print
Preserved Fulltext
Here we propose a visual interaction framework to improve dimensionality-reduction based exploratory data analysis. ...
Dimensionality reduction is a common method for analyzing and visualizing high-dimensional data. However, reasoning dynamically about the results of a dimensionality reduction is difficult. ...
ACKNOWLEDGMENTS The authors thank Paulo Freire for inspiring the name "Praxis." ...
arXiv:1811.12199v1
fatcat:ced7siqaqrazbhniryb3yevkxq
Visual Analytics: A Comprehensive Overview
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As such, a novel categorization of visual-analytics applications from a technical perspective is proposed, which is based on the dimensionality of visualization and the type of interaction. ...
Visual analytics employs interactive visualization to integrate human judgment into algorithmic data-analysis processes. ...
To facilitate collaboration and information sharing in visual analytics, building a web-based framework for visual analytics is a potential research direction. ...
doi:10.1109/access.2019.2923736
fatcat:bvjajbzleneedjmgwgzz7opsdm
CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Experimental study shows this framework is effective and efficient for visually exploring clustering structures for extreme scale datasets stored in the cloud. ...
The CloudVista framework aims to explore the entire large data stored in the cloud with the help of the data structure visual frame and the previously developed VISTA visualization model. ...
Cluster visualization is also a dimensionality reduction problem in the sense that it maps the original data space to the two dimensional visual space. ...
doi:10.1007/978-3-642-22351-8_21
fatcat:sisldc27rvgrnf6y27akgkeqxi
Combining Automated and Interactive Visual Analysis of Biomechanical Motion Data
[chapter]
2010
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We present a framework for combining automated and interactive visual analysis techniques for use on high-resolution biomechanical data. ...
Our multi-view framework allows investigators to simultaneously view a low-dimensional embedding, motion segment clustering, and 3D visual representation of the data side-by-side. ...
Acknowledgements We wish to thank Elizabeth Brainerd and the XROMM group at Brown University for the insight, infrastructure, and data that enabled us to explore this research within the context of the ...
doi:10.1007/978-3-642-17274-8_55
fatcat:d7uyu3brpbcsbhfm3bofybxwyq
Parallel Coordinates Guided High Dimensional Transfer Function Design
[article]
2013
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2013 pre-print arXiv:1305.4583v1 fatcat:zw7w7rtlbbaa7ah6smxdw3kogq
Parallel coordinate plot (PCP), as a powerful visualization tool, can efficiently display high-dimensional geometry and accurately analyze multivariate data. ...
reduction methods, to obtain sophisticated data classification as transfer function for volume rendering. ...
Dimension reduction and projection, on the other hand, provide a similarity based layout for the data, where the distance in high-dimensional space is embedded into a lower-dimensional space. ...
arXiv:1305.4583v2
fatcat:s3zne6acx5esnlxrcakwxd4b34
Adaptive Mapping of Sound Collections for Data-driven Musical Interfaces
2019
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper we propose novel framework for automatic creation of interactive sound spaces from sound collections using feature learning and dimensionality reduction. ...
Descriptor spaces have become an ubiquitous interaction paradigm for music based on collections of audio samples. ...
t-SNE t-SNE [21] is a more recent, popular algorithm which is specialized for visualizing high-dimensional data. ...
doi:10.5281/zenodo.3672975
fatcat:ufxzj37egza4bgxg3utnaatrbq
FUn: a framework for interactive visualizations of large, high-dimensional datasets on the web
2017
Bioinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other solutions enable the web-based visualization of big data only through data reduction or statistical representations. ...
Results: Here we present FUn, a framework consisting of a client (Faerun) and server (Underdark) module, facilitating the creation of web-based, interactive 3D visualizations of large datasets, enabling ...
Conclusion In summary, we believe that FUn, a framework facilitating easy web-based and interactive visualization of large, high-dimensional datasets, is a powerful tool to provide an additional route ...
doi:10.1093/bioinformatics/btx760
pmid:29186333
fatcat:44hptt6v2rbfbieomywvgz3ozi
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
[article]
2003
EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
In this paper we propose a new approach to handling high dimensional data, named Visual Hierarchical Dimension Reduction (VHDR), that addresses these drawbacks. ...
Our case study of applying VHDR to a real data set supports our belief that this approach is effective in supporting the exploration of high dimensional data sets. ...
David Brown, who gave us many valuable suggestions for this work. Figure (a) shows the automatically generated hierarchy. Figure (b) shows the detail of a cluster after brushing and rotation. ...
doi:10.2312/vissym/vissym03/019-028
fatcat:hijoqwhs3jd7nadb4jjmryxlwq
Integrating Information Visualization and Dimensionality Reduction: A pathway to Bridge the Gap between Natural and Artificial Intelligence
2021
Tecno Lógicas
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
A suitable alternative to simultaneously involve these two concepts—and then bridging the gap between natural and artificial intelligence—is bringing together the fields of dimensionality reduction (DimRed ...
) and information visualization (InfoVis). ...
Dimensionality reduction (DimRed) DimRed is a key tool for artificial intelligence tasks-more specifically machine learningthat involve high dimensional data sets. ...
doi:10.22430/22565337.2108
fatcat:6h2gtcujrffmdj42prg6jtyt7y
Graphical neuroimaging informatics: Application to Alzheimer's disease
2013
Brain Imaging and Behavior
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The Informatics Visualization for Neuroimaging (INVIZIAN) framework allows one to graphically display image and meta-data information from sizeable collections of neuroimaging data as a whole using a dynamic ...
In this article, we illustrate the utility of INVIZIAN for simultaneous exploration and mining a large collection of extracted cortical surface data arising in clinical neuroimaging studies of patients ...
Visual Hierarchical Dimension Reduction (VHDR) (Yang, Ward et al. 2003) constructs and arranges dimensions into a hierarchy, presented as a radial interface facilitating user exploration of dimensional ...
doi:10.1007/s11682-013-9273-9
pmid:24203652
pmcid:PMC4012008
fatcat:ws5vsn5sizb53kkzdspyri3vru
Visualizing High-Dimensional Data: Advances in the Past Decade
2017
IEEE Transactions on Visualization and Computer Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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. ...
We aim at providing actionable guidance for data practitioners to navigate through a modular view of the recent advances, allowing the creation of new visualizations along the enriched information visualization ...
Third, developing frameworks to extract as well as to simplify "skeletons" from high-dimensional data can be extremely useful for visual data abstraction and exploration (e.g., [SMC07]). ...
doi:10.1109/tvcg.2016.2640960
pmid:28113321
fatcat:3xb2npz44fgxzpfueum5hhso5u
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges
2013
Journal of Computer Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Visual analytics employs interactive visualizations to integrate users' knowledge and inference capability into numerical/algorithmic data analysis processes. ...
The growing popularity of visual analytics in recent years creates the need for a broad survey that reviews and assesses the recent developments in the field. ...
TimeSeer [39] is a useful visualization tool for exploring the high-dimensional time series data. ...
doi:10.1007/s11390-013-1383-8
fatcat:reurwsabkvdehjv7ub2oj6jqgi
Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions
2016
Journal of Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
comparison and user-centric interaction and exploration based on feature selection. ...
In addition to the traditional way to visualise data, we utilise the Unity3D platform for developing a smooth and interactive visual presentation of the information. ...
Dimensionality Reduction Dimensionality reduction is needed to generate new features for patients and to project them into a lower dimensional similarity space for visualisation. ...
doi:10.3390/jimaging2040029
fatcat:npvraafuhbawpeuzmtfl6cfkta
Information visualisation and machine learning: characteristics, convergence and perspective
2016
The European Symposium on Artificial Neural Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
On the other hand, machine learning can provide powerful algorithms for clustering, dimensionality reduction, data cleansing, outlier detection, etc. ...
This paper highlight opportunities to collaborate for experts in both fields. ...
A relatively comparable example is the article of De Bie et al. [21] which presents a framework for more meaningful data projections for high-dimensional data. ...
dblp:conf/esann/FrenayD16
fatcat:wera3pv3gbalnj3gownkze6p5u
Multivariate volume visualization through dynamic projections
2014
2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
ABSTRACT We propose a multivariate volume visualization framework that tightly couples dynamic projections with a high-dimensional transfer function design for interactive volume visualization. ...
We assume that the complex, high-dimensional data in the attribute space can be well-represented through a collection of low-dimensional linear subspaces, and embed the data points in a variety of 2D views ...
ABSTRACT We propose a multivariate volume visualization framework that tightly couples dynamic projections with a high-dimensional transfer function design for interactive volume visualization. ...
doi:10.1109/ldav.2014.7013202
dblp:conf/ldav/LiuWTBP14
fatcat:j7vcl6uul5eslfopaw3mausyv4
« Previous
Showing results 1 — 15 out of 93,687 results