{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T21:54:06Z","timestamp":1730238846712,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE Comput. Soc","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1109\/icdm.2003.1250962","type":"proceedings-article","created":{"date-parts":[[2004,4,23]],"date-time":"2004-04-23T14:38:15Z","timestamp":1082731095000},"page":"501-504","source":"Crossref","is-referenced-by-count":8,"title":["Validating and refining clusters via visual rendering"],"prefix":"10.1109","author":[{"given":"K.","family":"Chen","sequence":"first","affiliation":[]},{"family":"Ling Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"58","article-title":"An Efficient Approach to Clustering in Large Multimedia Databases with Noise","author":"hinneburg","year":"0","journal-title":"Proc KDD-98"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/565117.565124"},{"key":"ref12","article-title":"Wavecluster: A multi-resolution clustering approach for very large spatial databases","author":"sheikholeslami","year":"1998","journal-title":"Proc VLDB98’"},{"article-title":"Geometric methods and applications: for computer science and engineering","year":"0","author":"gallier","key":"ref13"},{"key":"ref14","article-title":"Visual Mining of High-dimensional data","volume":"19","author":"hinneburg","year":"0","journal-title":"IEEE Computer Graphics and Applications"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/304182.304187"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347134"},{"key":"ref3","first-page":"225","article-title":"Grand tour and projection pursuit","volume":"23","author":"cook","year":"0","journal-title":"Journal of Computational and Graphical Statistics"},{"article-title":"Algorithms for Clustering Data","year":"0","author":"jain","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502530"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"ref7","article-title":"Visual Data Mining: Background, Applications, and Drug Discovery Applications","author":"grinstein","year":"0","journal-title":"Tutorial at ACM SIGKDD 2002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/276304.276312"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/952532.952712"},{"article-title":"A Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise","year":"0","author":"ester","key":"ref9"}],"event":{"name":"Third IEEE International Conference on Data Mining","acronym":"ICDM-03","location":"Melbourne, FL, USA"},"container-title":["Third IEEE International Conference on Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/8854\/27998\/01250962.pdf?arnumber=1250962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T15:19:50Z","timestamp":1489418390000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/1250962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icdm.2003.1250962","relation":{},"subject":[]}}