{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T06:28:28Z","timestamp":1750746508456,"version":"3.37.3"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502289","61603230","61806003","61802238","61872226"],"award-info":[{"award-number":["61502289","61603230","61806003","61802238","61872226"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004480","name":"Natural Science Foundation of Shanxi Province","doi-asserted-by":"publisher","award":["201701D121052","201801D221163"],"award-info":[{"award-number":["201701D121052","201801D221163"]}],"id":[{"id":"10.13039\/501100004480","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2930470","type":"journal-article","created":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T20:32:06Z","timestamp":1563913926000},"page":"102921-102930","source":"Crossref","is-referenced-by-count":13,"title":["Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3294-5071","authenticated-orcid":false,"given":"Liang","family":"Du","sequence":"first","affiliation":[{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaohong","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3675-4985","authenticated-orcid":false,"given":"Peng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiguo","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1601","article-title":"Self-tuning spectral clustering","author":"zelnik-manor","year":"2005","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.222"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2733200"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2426703"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001414500098"},{"key":"ref30","first-page":"507","article-title":"Laplacian score for feature selection","volume":"18","author":"he","year":"2005","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38562-9_25"},{"key":"ref36","article-title":"Matching theory","volume":"29","author":"lov\u00e1sz","year":"1986","journal-title":"Ann Statist"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974010.8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886761"},{"key":"ref10","first-page":"845","article-title":"Feature selection for unsupervised learning","volume":"5","author":"dy","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835848"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.58"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783345"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.08.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.043"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.05.081"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2699741"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.23"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/228"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2830186"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.knosys.2016.01.043","article-title":"Optimal feature extraction methods for classification methods and their applications to biometric recognition","volume":"99","author":"yin","year":"2019","journal-title":"Knowl -Based Syst"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4338-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref6","first-page":"1813","article-title":"Efficient and robust feature selection via joint \n$l_{2,1}$\n-norms minimization","volume":"23","author":"nie","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.04.007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.043"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1109\/TNN.2010.2047114","article-title":"Discriminative semi-supervised feature selection via manifold regularization","volume":"21","author":"xu","year":"2010","journal-title":"IEEE Trans Neural Netw"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.75"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025667309714"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2703610"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.03.002"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.11.061"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2878855"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2877746"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2884487"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868847"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2837100"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08769847.pdf?arnumber=8769847","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:07:59Z","timestamp":1662667679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8769847\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2930470","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}