{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T04:34:24Z","timestamp":1764304464025},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T00:00:00Z","timestamp":1501545600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Visual Languages & Computing"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1016\/j.jvlc.2017.03.005","type":"journal-article","created":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T22:01:16Z","timestamp":1493935276000},"page":"121-132","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["Improved visual correlation analysis for multidimensional data"],"prefix":"10.1016","volume":"41","author":[{"given":"Yi","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Teng","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Kefei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiawan","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.jvlc.2017.03.005_bib0001","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1002\/widm.1147","article-title":"Data visualization by nonlinear dimensionality reduction","volume":"5","author":"Gisbrecht","year":"2015","journal-title":"Wiley Interdiscip. Rev. Data Min. Knowl. Discov."},{"issue":"4","key":"10.1016\/j.jvlc.2017.03.005_bib0002","first-page":"227","article-title":"Applied multiple regression\/correlation analysis for the behavioral sciences","volume":"52","author":"Kemp","year":"2003","journal-title":"J. R. Stat. Soc."},{"key":"10.1016\/j.jvlc.2017.03.005_bib0003","series-title":"Canonical Correlation Analysis","author":"Hardle","year":"2012"},{"issue":"6062","key":"10.1016\/j.jvlc.2017.03.005_sbref0004","doi-asserted-by":"crossref","DOI":"10.1126\/science.1205438","article-title":"Detecting novel associations in large data sets","volume":"334","author":"Reshef","year":"2011","journal-title":"Science"},{"key":"10.1016\/j.jvlc.2017.03.005_bib0005","series-title":"Pearson Correlation Coefficient","author":"Benesty","year":"2009"},{"issue":"2","key":"10.1016\/j.jvlc.2017.03.005_bib0006","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1109\/TVCG.2014.2350494","article-title":"Visual correlation analysis of numerical and categorical data on the correlation map","volume":"21","author":"Mcdonnell","year":"2015","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"2","key":"10.1016\/j.jvlc.2017.03.005_bib0007","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1057\/palgrave.ivs.9500091","article-title":"A rank-by-feature framework for interactive exploration of multidimensional data","volume":"4","author":"Seo","year":"2005","journal-title":"Inf. Vis."},{"issue":"5","key":"10.1016\/j.jvlc.2017.03.005_sbref0008","doi-asserted-by":"crossref","DOI":"10.1093\/ije\/dyq191","article-title":"The proof and measurement of association between two things","volume":"39","author":"Spearman","year":"2010","journal-title":"Int. J. Epidemiol."},{"issue":"285","key":"10.1016\/j.jvlc.2017.03.005_bib0009","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1080\/01621459.1959.10501503","article-title":"Measures of association for cross classifications. ii: Further discussion and references","volume":"54","author":"Goodman","year":"1959","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"10.1016\/j.jvlc.2017.03.005_bib0010","doi-asserted-by":"crossref","first-page":"657C664","DOI":"10.1111\/j.1467-842X.2004.00360.x","article-title":"Partial correlation and conditional correlation as measures of conditional independence","volume":"46","author":"Baba","year":"2004","journal-title":"Aust. N. Z. J. Stat."},{"issue":"5","key":"10.1016\/j.jvlc.2017.03.005_bib0011","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.3724\/SP.J.1001.2012.04008","article-title":"Parallel computing method of canonical correlation analysis for high-dimensional data streams in irregular streams","volume":"23","author":"Zhou","year":"2012","journal-title":"J. Softw."},{"key":"10.1016\/j.jvlc.2017.03.005_bib0012","article-title":"A survey on correlation analysis of big data","author":"Liang","year":"2016","journal-title":"Chin. J. Comput."},{"issue":"6","key":"10.1016\/j.jvlc.2017.03.005_bib0013","doi-asserted-by":"crossref","first-page":"2769","DOI":"10.1214\/009053607000000505","article-title":"Measuring and testing dependence by correlation of distances","volume":"35","author":"Szekely","year":"2008","journal-title":"Ann. Stat."},{"issue":"3","key":"10.1016\/j.jvlc.2017.03.005_bib0014","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.jmva.2013.02.012","article-title":"The distance correlation t-test of independence in high dimension","volume":"117","author":"Szekely","year":"2013","journal-title":"J. Multivar. Anal."},{"issue":"6","key":"10.1016\/j.jvlc.2017.03.005_bib0015","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2003","journal-title":"Appl. Phys. Lett."},{"issue":"1","key":"10.1016\/j.jvlc.2017.03.005_bib0016","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1177\/1473871612460526","article-title":"Quality-based guidance for exploratory dimensionality reduction","volume":"12","author":"Fernstad","year":"2013","journal-title":"Inf. Vis."},{"issue":"12","key":"10.1016\/j.jvlc.2017.03.005_sbref0017","article-title":"Brushing dimensions\u2013a dual visual analysis model for high-dimensional data","volume":"17","author":"Cagatay","year":"2011","journal-title":"Vis. Comput. Graph. IEEE Trans."},{"issue":"12","key":"10.1016\/j.jvlc.2017.03.005_bib0018","doi-asserted-by":"crossref","first-page":"2621","DOI":"10.1109\/TVCG.2012.256","article-title":"Representative factor generation for the interactive visual analysis of high-dimensional data","volume":"18","author":"Turkay","year":"2012","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"10.1016\/j.jvlc.2017.03.005_bib0019","series-title":"Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on","first-page":"89","article-title":"Clutter reduction in multi-dimensional data visualization using dimension reordering","author":"Peng","year":"2004"},{"key":"10.1016\/j.jvlc.2017.03.005_bib0020","series-title":"Proceedings of the Conference on Information Visualization","first-page":"707","article-title":"Enhanced high dimensional data visualization through dimension reduction and attribute arrangement","author":"Artero","year":"2006"},{"key":"10.1016\/j.jvlc.2017.03.005_bib0021","series-title":"Eurographics \/ IEEE - Vgtc Conference on Visualization","first-page":"1121","article-title":"Visualizing high-dimensional structures by dimension ordering and filtering using subspace analysis","author":"Ferdosi","year":"2011"},{"issue":"6\u20138","key":"10.1016\/j.jvlc.2017.03.005_bib0022","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1007\/s00371-012-0713-0","article-title":"Structure revealing techniques based on parallel coordinates plot","volume":"28","author":"Zhao","year":"2012","journal-title":"Visual Comput."},{"key":"10.1016\/j.jvlc.2017.03.005_bib0023","series-title":"IEEE Pacific Visualization Symposium","first-page":"57","article-title":"An edge-bundling layout for interactive parallel coordinates","author":"Weinkauf","year":"2014"},{"key":"10.1016\/j.jvlc.2017.03.005_bib0024","article-title":"The study on improved k-means algorithm","author":"Chen","year":"2012","journal-title":"Manuf. Autom."},{"issue":"1","key":"10.1016\/j.jvlc.2017.03.005_bib0025","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0095-0696(78)90006-2","article-title":"Hedonic housing prices and the demand for clean air","volume":"5","author":"Harrison","year":"1978","journal-title":"J. Environ. Econ. Manage."}],"container-title":["Journal of Visual Languages & Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1045926X16301719?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1045926X16301719?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T01:49:36Z","timestamp":1537062576000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1045926X16301719"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":25,"alternative-id":["S1045926X16301719"],"URL":"https:\/\/doi.org\/10.1016\/j.jvlc.2017.03.005","relation":{},"ISSN":["1045-926X"],"issn-type":[{"value":"1045-926X","type":"print"}],"subject":[],"published":{"date-parts":[[2017,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Improved visual correlation analysis for multidimensional data","name":"articletitle","label":"Article Title"},{"value":"Journal of Visual Languages & Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvlc.2017.03.005","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}