{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:41:05Z","timestamp":1783438865975,"version":"3.54.6"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,5]]},"DOI":"10.1109\/cscwd49262.2021.9437767","type":"proceedings-article","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T16:48:36Z","timestamp":1622220516000},"page":"1215-1220","source":"Crossref","is-referenced-by-count":3,"title":["A Cluster Representative Selection Method for Stock Portfolio Based on Efficient Frontier"],"prefix":"10.1109","author":[{"given":"Yahui","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minghao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaochu","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","author":"fu","year":"2016","journal-title":"An Internal Clustering Validation Index for Boolean Data"},{"key":"ref11","article-title":"Influence of noisy features on internal validation of clustering","author":"hu","year":"2018","journal-title":"Computer Science"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref13","first-page":"1","article-title":"A dendrite method for cluster analysis","volume":"3","author":"caliski","year":"1974","journal-title":"Communications in Statistics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989517"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/34.85677"},{"key":"ref16","first-page":"29","article-title":"Ward-weighted entropy index for stocks clustering","volume":"30","author":"wang","year":"2015","journal-title":"Statistics and information forum"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1126\/science.1136800","article-title":"Clustering by passing messages between data points","volume":"315","author":"frey","year":"2007","journal-title":"Science"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1147\/rd.175.0420","article-title":"Lower bounds for the partitioning of graphs","volume":"17","author":"donath","year":"1973","journal-title":"IBM Journal of Research and Development"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289588"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68636-1_53"},{"key":"ref3","first-page":"1027","volume":"8","author":"arthur","year":"2007","journal-title":"K-means++ The Advantages of Careful Seeding"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2307\/2284239"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICISE.2017.11"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/312129.312186"},{"key":"ref7","first-page":"22","article-title":"Word association norms, mutual information, and lexicography","volume":"16","author":"church","year":"1990","journal-title":"Comput Linguist"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"ref1","author":"jain","year":"1988","journal-title":"Algorithms for clustering data"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/601858.601862"},{"key":"ref20","author":"maimon","year":"2005","journal-title":"Algorithms for clustering data"},{"key":"ref22","first-page":"77","article-title":"Portfolio selection","volume":"7","author":"m h m","year":"1952","journal-title":"The Journal of Finance"},{"key":"ref21","first-page":"226","article-title":"A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"0","journal-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining"}],"event":{"name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","location":"Dalian, China","start":{"date-parts":[[2021,5,5]]},"end":{"date-parts":[[2021,5,7]]}},"container-title":["2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9437608\/9437628\/09437767.pdf?arnumber=9437767","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:41:50Z","timestamp":1652182910000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9437767\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/cscwd49262.2021.9437767","relation":{},"subject":[],"published":{"date-parts":[[2021,5,5]]}}}