30 Hits in 3.0 sec


Van Long Tran
2021 Journal of Science and Technique  
RadViz visualizes multi-dimensional data points in the 2D visual space based on force-based methods. Radviz visualizes information about relationships of multi-dimensional data points of data space.  ...  Our approach make provision an augmentation in visualizing group structures of multi-dimensional data on the 2D visual space.  ...  Acknowledgment This research is funded by University of Transport and Communications (UTC) under grant number T2021-CB-010.  ... 
doi:10.56651/lqdtu.jst.v10.n01.286.ict fatcat:4wbwjp6ulzecvgdwy2b25z7kla

A new variant of radial visualization for supervised visualization of high dimensional data

Long Tran Van, Nguyen Dinh Thi
2019 The Transport and Communications Science Journal  
In this article, we introduced a new variant of Radial Visualization for visualizing high dimensional data set that named Arc Radial Visualization.  ...  Our method provides an improvement in visualizing cluster structures of high dimensional data sets on the Radial Visualization.  ...  Recently, several extended of RadViz have been proposed. Concentric Radviz [17] is used for multi-label classification. Voronoi RadViz [21, 22] maps data points based on barycentric coordinates.  ... 
doi:10.25073/tcsj.70.3.24 fatcat:ziwh3d5n3jhxbe4p5vzthzww5u

A Visualization System for Exploring Logo Trend and Design Shape Patterns

Hyoji Ha, Hyunwoo Han, Kyungwon Lee
2020 Applied Sciences  
Then, a trend analysis system was produced using radial visualization (RadViz) and circular parallel coordinates data visualization techniques.  ...  RadViz allows observation of clusters of logos that have similar shape elements, whereas with circular parallel coordinates plots, detailed information of the shape elements of each logo trend can be seen  ...  This study intends to produce trend visualizations using RadViz and circular parallel coordinates methods, two among various types of multi-dimensional data visualization techniques.  ... 
doi:10.3390/app10134579 fatcat:twccfijc4rgz7oijoxvps53bfm

Quality Metrics for Information Visualization

M. Behrisch, M. Blumenschein, N. W. Kim, L. Shao, M. El-Assady, J. Fuchs, D. Seebacher, A. Diehl, U. Brandes, H. Pfister, T. Schreck, D. Weiskopf (+1 others)
2018 Computer graphics forum (Print)  
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 visualization community has developed to date many intuitions and understandings of how to judge the quality of views in visualizing data.  ...  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

Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning

Ruizhen Hu, Bin Chen, Juzhan Xu, Oliver Van Kaick, Oliver Deussen, Hui Huang
2021 IEEE Transactions on Visualization and Computer Graphics  
We also demonstrate that our model can be adapted to coordinate ordering of other types of plots such as RadViz by replacing the proposed shape-aware silhouette coefficient with the corresponding quality  ...  of the axis ordering network.  ...  The desired shape of a star glyph also depends on the visualization task.  ... 
doi:10.1109/tvcg.2021.3052167 fatcat:3pvj5woilbdj5n6i7eshflf3lq

From visual data exploration to visual data mining: A survey

M.C.F. de Oliveira, H. Levkowitz
2003 IEEE Transactions on Visualization and Computer Graphics  
This includes both visual data exploration and visually expressing the outcome of specific mining algorithms.  ...  Previous work on information visualization is reviewed in light of different categorizations of techniques and systems.  ...  Visualization of Mining Models Another typical use of visualization in mining resides in visually conveying the results of a mining task, such as clustering or classification, to enhance user interpretation  ... 
doi:10.1109/tvcg.2003.1207445 fatcat:g6lrnvirmfdy7k55c6w65p3fpi

Monitoring Influent Measurements at Water Resource Recovery Facility Using Data-Driven Soft Sensor Approach

Tuoyuan Cheng, Fouzi Harrou, Ying Sun, TorOve Leiknes
2019 IEEE Sensors Journal  
Moreover, the radial visualization plot is innovatively employed for fault analysis and diagnosis in combination with PCA and delineated interpretable visualization of anomalies and detector performances  ...  Monitoring inflow measurements of water resource recovery facilities (WRRFs) is essential to promptly detect abnormalities and helpful in the decision making of the operators to better optimize, take corrective  ...  Prior knowledge of faults could be introduced to assist sensing techniques and achieve multi-class fault diagnosis or classification.  ... 
doi:10.1109/jsen.2018.2875954 fatcat:3x6v2uqqkbg5boohw7lqerl2ie

Dimension reconstruction for visual exploration of subspace clusters in high-dimensional data

Fangfang Zhou, Juncai Li, Wei Huang, Ying Zhao, Xiaoru Yuan, Xing Liang, Yang Shi
2016 2016 IEEE Pacific Visualization Symposium (PacificVis)  
A visually interactive exploration of subspaces and clusters is a cyclic process.  ...  We also provide a visualization tool that assists users in the exploration of subspace clusters by utilizing dimension reconstruction.  ...  ACKNOWLEDGEMENTS This work is supported by the National Natural Science Foundation of China under Grant Nos. 61103108, 61170204 and 61402540. (video demo for this paper:  ... 
doi:10.1109/pacificvis.2016.7465260 dblp:conf/apvis/ZhouLHZYLS16 fatcat:c5tpgfxqbzcnrdjg67utumdyoe

Visualizing High-Dimensional Data: Advances in the Past Decade

Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2017 IEEE Transactions on Visualization and Computer Graphics  
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  ...  identification tasks.  ... 
doi:10.1109/tvcg.2016.2640960 pmid:28113321 fatcat:3xb2npz44fgxzpfueum5hhso5u

Visualization and Optimization Techniques for High Dimensional Parameter Spaces [article]

Anjul Tyagi
2022 arXiv   pre-print
As part of the initial step towards creating an auto-tuning engine for storage systems optimization, we created an Interactive Configuration Explorer ICE, which directly addresses the need of analysts  ...  The existing techniques of black-box optimization and visual analytics are good in dealing with numerical parameters but analyzing categorical variables in context of the numerical variables are not well  ...  A variation, concentric RadViz [71] can be used to study different categorical variables as concentric RadViz circles but the main objective is to study data distribution for given parameter combinations  ... 
arXiv:2204.13812v1 fatcat:326tceqh7ncc7ivvuz5akmaine


Jina Suh, Soroush Ghorashi, Gonzalo Ramos, Nan-Chen Chen, Steven Drucker, Johan Verwey, Patrice Simard
2019 ACM transactions on interactive intelligent systems (TiiS)  
This article presents AnchorViz, an interactive visualization that facilitates the discovery of prediction errors and previously unseen concepts through human-driven semantic data exploration.  ...  We discuss exploration strategies observed during the two studies and how AnchorViz supports discovering, labeling, and refining of concepts through a sensemaking loop.  ...  the categorization or classification task.  ... 
doi:10.1145/3241379 fatcat:ptyz5iprpndaljzl3fkkm5ymei

Diverse Visualization Techniques and Methods of Moving-Object-Trajectory Data: A Review

Jing He, Haonan Chen, Yijin Chen, Xinming Tang, Yebin Zou
2019 ISPRS International Journal of Geo-Information  
understand the fundamental characteristics and diverse achievements of trajectory-data visualization.  ...  This paper summarizes the research status of trajectory data-visualization techniques in recent years and extracts common contemporary trajectory data-visualization methods to comprehensively cognize and  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8020063 fatcat:fjd5jjfrhncfpowutovxxiyhpe

ClusterSculptor: A Visual Analytics Tool for High-Dimensional Data

Eun Ju Nam, Yiping Han, Klaus Mueller, Alla Zelenyuk, Dan Imre
2007 2007 IEEE Symposium on Visual Analytics Science and Technology  
Cluster analysis (CA) is a powerful strategy for the exploration of high-dimensional data in the absence of a-priori hypotheses or data classification models, and the results of CA can then be used to  ...  But even though formal models and classification rules may not exist in these data exploration scenarios, domain scientists and experts generally have a vast amount of non-compiled knowledge and intuition  ...  Department of Energy Office of Basic Energy Sciences, Chemical Sciences Division.  ... 
doi:10.1109/vast.2007.4388999 dblp:conf/ieeevast/NamHMZI07 fatcat:6x2xsn5u25gbdj5gmkcxzdwtza

HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques [article]

Angelos Chatzimparmpas, Fernando V. Paulovich, Andreas Kerren
2022 arXiv   pre-print
This paper introduces HardVis, a visual analytics system designed to handle instance hardness mainly in imbalanced classification scenarios.  ...  Users can explore subsets of data from different perspectives to decide all those parameters, while HardVis keeps track of their steps and evaluates the model's predictive performance in a test set separately  ...  The former concentrated on the problem of visualizing hundreds of features, while the lat-ter on the exploration of more than three classes.  ... 
arXiv:2203.15753v2 fatcat:kijabfynkbbgnayfwvt4j3lxwm

The Subspace Voyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces

Bing Wang, Klaus Mueller
2018 IEEE Transactions on Visualization and Computer Graphics  
Automated methods can be useful to some extent but bringing the data analyst into the loop via interactive visual tools can help the discovery process tremendously.  ...  A subspace trail map allows users to manage the explored subspaces, and also helps them navigate within and across any higher-dimensional subspaces identified by clustering.  ...  ACKNOWLEDGEMENTS This research was partially supported by NSF grants IIS 1527200 and IIS 1117132, as well as the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the "ITCCP Program" directed  ... 
doi:10.1109/tvcg.2017.2672987 pmid:28252403 fatcat:ygjgyccvrzcg7aofw7svjutc5q
« Previous Showing results 1 — 15 out of 30 results