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Visual Approaches for Exploratory Data Analysis: A Survey of the Visual Assessment of Clustering Tendency (VAT) Family of Algorithms

Dheeraj Kumar, James C. Bezdek
2020 IEEE Systems Man and Cybernetics Magazine  
Visual Assessment of Tendency Family"), which is feasible for arbitrarily large data sets.  ...  Automating VAT/iVAT for Clustering Tendency Assessment The RDI generated by the VAT algorithm provides an excellent tool to (visually) interpret possible cluster structure in a data set.  ... 
doi:10.1109/msmc.2019.2961163 fatcat:jvqnvhjgjndyrn3cx6ehcigueu

PARALLEL APPROACH OF VISUAL ACCESS TENDENCY FOR BIG DATA CLUSTER ASSESSMENT

Dr. Chukka Santhaiah, Department of computer science & Engineering Institute of Aeronautical Engineering. Hyderabad , India
2018 International Journal of Advanced Research in Computer Science  
Visual Access of Tendency (VAT) proficiency, for visually finding the amount of clusters in data.  ...  VAT makes a picture lattice work that can be made use of for visual examination of collecting disposition in either social or challenge data.  ...  Erfani and Christopher Leckie, An Efficient Visual Access of Cluster Tendency Tool for Large-scale Time Series Data Sets. 978-1-5090-6034-4/17/$31.00 c 2017 IEEE. 3.  ... 
doi:10.26483/ijarcs.v9i6.6347 fatcat:q7yevlyy5rcaxb5cq6puc6fggm

Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data

Julien Leprince, Clayton Miller, Wim Zeiler
2021 Energy and Buildings  
for large data sets.  ...  Such questions root upon causes usually involving poor data 28 quality, resulting from a large share of missing values and outliers, coupled to lack of efficient and convenient analytical tools & 29 methods  ...  An interactive visualization version of this figure is available via the public github repository of this study. 564 acceptably large number of clusters.  ... 
doi:10.1016/j.enbuild.2021.111195 fatcat:7fa7ir2d5jaizfmiqwf7py2nfa

Visualizing Semantic Structure of a Clinical Text Document

Jonah Kenei, Elisha Opiyo, Robert Oboko
2020 European Journal of Electrical Engineering and Computer Science  
The increasing use of Electronic Health Records (EHRs) in healthcare delivery settings has led to increase availability of electronic clinical data.  ...  The availability of electronically collected healthcare data has created the need of computational tools to analyze them.  ...  We are also thankful to MT samples for providing sample medical reports for this study.  ... 
doi:10.24018/ejece.2020.4.6.256 fatcat:zqogu4pxdjfztdwwbip4m735jq

An Insight-Based Methodology for Evaluating Bioinformatics Visualizations

P. Saraiya, C. North, K. Duca
2005 IEEE Transactions on Visualization and Computer Graphics  
High-throughput experiments, such as gene expression microarrays in the life sciences, result in very large data sets.  ...  In response, a wide variety of visualization tools have been created to facilitate data analysis. A primary purpose of these tools is to provide biologically relevant insight into the data.  ...  They also thank Hideo Goto, Yoshi Kawaoka, and John Yin for assistance related to mRNA extraction, as well as Jeff Furlong and Emily Baechler for assistance with data sets.  ... 
doi:10.1109/tvcg.2005.53 pmid:16138554 fatcat:7f3duki22vahfcgrvbqfbnuckm

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning

Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Ramamohanarao Kotagiri
2010 IEEE Transactions on Knowledge and Data Engineering  
A sampling-based extended scheme is also proposed to enable visual cluster analysis for large data sets.  ...  Given a pairwise dissimilarity matrix D D of a set of n objects, visual methods such as the VAT algorithm generally represent D D as an n n image IðD DÞ where the objects are reordered to reveal hidden  ...  Wang worked at the University of Melbourne.  ... 
doi:10.1109/tkde.2009.192 fatcat:szkh2xf7kbcohiizhjrlchoucm

A Review of Urban Planning Research for Climate Change

Yunfang Jiang, Luyao Hou, Tiemao Shi, Qinchang Gui
2017 Sustainability  
The detailed study on the framework presented three mainstream developing directions: (1) The index assessment and spatial simulation on the impact of urban spatial systems for climate change have become  ...  Through cluster analysis and a document sorting method, the research direction of city planning and climate change were mainly divided into four academic groupings, 15 clusters with homogenous themes representing  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su9122224 fatcat:2gppcjucx5d5bef3vfuhfqmdha

GeoVisual analytics, time to focus on time

Gennady Andrienko, Natalia Andrienko, Jason Dykes, Menno-Jan Kraak, Heidrun Schumann
2014 Information Visualization  
''Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series'' proposes a method for detecting similar situations from spatial time series data, such  ...  Initially, hierarchical clustering groups all time steps of a geospatial time series into a hierarchy of clusters.  ... 
doi:10.1177/1473871613487091 fatcat:5cojjjhvajfr5dh7kqlured3cm

A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions

Richard Nock, Natalia Polouliakh, Frank Nielsen, Keigo Oka, Carlin R. Connell, Cedric Heimhofer, Kazuhiro Shibanai, Samik Ghosh, Ken-ichi Aisaki, Satoshi Kitajima, Jun Kanno, Taketo Akama (+2 others)
2020 PLoS ONE  
With a view to meet the requirements, we present AGCT (A Geometric Clustering Tool), a software package used to unravel the complex architecture of large-scale, non-necessarily synchronized time-series  ...  Prior methods/tools for time series data, however, do not have the following four major ingredients in analytic and methodological view point: (i) principled time-series feature extraction methods, (ii  ...  Takeshi Hase (Systems Biology Institute, Tokyo, Japan) for their insightful discussions and comments.  ... 
doi:10.1371/journal.pone.0233755 pmid:32628677 fatcat:yf2p2ottrjdndnwk55g3wnsr7e

Review of statistical analysis methods of high-dimensional data

Makrufa Sharif Hajirahimova, Aybeniz Salman Aliyeva
2015 Eastern-European Journal of Enterprise Technologies  
The bag of little bootstraps modifies the ordinary bootstrap to make it suitable for large-scale data sets.  ...  For instance, as an significant tool in analyzing the common evolution of macroeconomics time series, the customary vector autoregressive (VAR) model generally includes no more than 10 variables, given  ... 
doi:10.15587/1729-4061.2015.51603 fatcat:pa3a7od4szfadfdcvjhjdjo364

Applying Psychometric Modeling to aid Feature Engineering in Predictive Log-Data Analytics: The NAEP EDM Competition

Fabian Zehner, Beate Eichmann, Tobias Deribo, Scott Harrison, Daniel Bengs, Nico Andersen, Carolin Hahnel
2021 Zenodo  
The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data.  ...  Beyond competition-related findings, we furthermore report a state sequence analysis for demonstrating the viability of the employed tools.  ...  This set of findings demonstrates the importance of in-depth analyses that still scale up to large data sets and complex, semi-structured data (such as log data).  ... 
doi:10.5281/zenodo.5275316 fatcat:pk4g6cdyizchtleod6xonujwry

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites

Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, Shangsong Liang
2022 Information  
An improved short text clustering algorithm is used to extract the design elements of laptops.  ...  mining tool based on the K-means clustering algorithm and Kano mode.  ...  Acknowledgments: The authors would like to thank Leng Shaowei for helping in the collection of experimental receipts. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info13030110 fatcat:urvv2z33nzcv5cq7elyktps42i

Synthesis and Research of a Model of Factors of Infographics Compositional Design with Elements of Visual Communication

Oleksandr Tymchenko, Nataliia Kunanets, Svitlana Vasiuta, Olha Sosnovska, Orest Khamula
2021 International Workshop on Intelligent Information Technologies & Systems of Information Security  
Visualization performs the functions of motivating the viewer to compare fragments of data, description, research, organization of large data sets.  ...  Visualization is a tool for presenting data, which encourages the reader to think about the essence, rather than methodology, to avoid distortion of what the data should convey.  ...  Acknowledgements The authors are appreciative to colleagues for their support and appropriate suggestions, which allowed them to improve the materials of the article.  ... 
dblp:conf/intelitsis/TymchenkoKVSK21 fatcat:rwvehz63lre5ppemeqmew5m56q

Wear monitoring in fine blanking processes using feature based analysis of acoustic emission signals

Martin Christian Unterberg, Herman Otto Voigts, Ingo Felix Weiser, Andreas Feuerhack, Daniel Trauth, Thomas Bergs
2021 54th CIRP Conference on Manufacturing Systems  
This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system.  ...  The aim is to cluster these products in new assembly oriented product families for the optimization of existing assembly lines and the creation of future reconfigurable assembly systems.  ...  Acknowledgements The authors would like to thank Scherdel Feinschneidtechnik GmbH for the provision of process data and a reference process for this investigation.  ... 
doi:10.18154/rwth-2022-02086 fatcat:onfdv7e7r5c3bgeanj6isjjydy

An Analytical Survey on Recent Trends in High Dimensional Data Visualization [article]

Alexander Kiefer, Md. Khaledur Rahman
2021 arXiv   pre-print
Data visualization is the process by which data of any size or dimensionality is processed to produce an understandable set of data in a lower dimensionality, allowing it to be manipulated and understood  ...  The goal of our paper is to survey the performance of current high-dimensional data visualization techniques and quantify their strengths and weaknesses through relevant quantitative measures, including  ...  Comparison of Graph Visualization Tools Runtime and Memory Consumption With the emergence of bigdata, large-scale graph drawing has become an important aspect.  ... 
arXiv:2107.01887v1 fatcat:dzgv3dvofzhmlddeji3br65xge
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