{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:52:02Z","timestamp":1761580322259},"reference-count":13,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2005,6]]},"abstract":"<jats:p> The use of self-organizing maps to analyze data often depends on finding effective methods to visualize the SOM's structure. In this paper we propose a new way to perform that visualization using a variant of Andrews' Curves. Also we show that the interaction between these two methods allows us to find sub-clusters within identified clusters. Perhaps more importantly, using the SOM to pre-process data by identifying gross features enables us to use Andrews' Curves on data sets which would have previously been too large for the methodology. Finally we show how a three way interaction between the human user and these two methods can be a valuable exploratory data analysis tool. <\/jats:p>","DOI":"10.1142\/s0129065705000207","type":"journal-article","created":{"date-parts":[[2005,7,6]],"date-time":"2005-07-06T22:21:56Z","timestamp":1120688516000},"page":"197-206","source":"Crossref","is-referenced-by-count":3,"title":["THE COMBINED USE OF SELF-ORGANIZING MAPS AND ANDREWS' CURVES"],"prefix":"10.1142","volume":"15","author":[{"given":"C.","family":"GARC\u00cdA-OSORIO","sequence":"first","affiliation":[{"name":"Applied Computational Intelligence Research Unit, The University of Paisley, Scotland"}]},{"given":"C.","family":"FYFE","sequence":"additional","affiliation":[{"name":"Applied Computational Intelligence Research Unit, The University of Paisley, Scotland"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.2307\/2528964"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1137\/0906011"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1987.10488204"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-3913-3"},{"key":"rf5","volume-title":"Emergent Solutions for the Information and Knowledge Economy (X SIGEF Congress)","author":"Garc\u00eda-Osorio C.","year":"2003"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-56927-2"},{"key":"rf10","first-page":"296","volume":"6","author":"Mao J.","journal-title":"IEEE Transaction on Neural Networks"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511812651"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1969.222678"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1016\/S1088-467X(99)00013-X"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1109\/72.846731"},{"key":"rf16","first-page":"284","volume":"25","author":"Wegman E. J.","journal-title":"Computing Science and Statistics"},{"key":"rf17","first-page":"429","volume":"64","author":"Wegman E. J.","journal-title":"Indian Journal of Statistics"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065705000207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:30:28Z","timestamp":1565195428000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065705000207"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6]]},"references-count":13,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,6]]}},"alternative-id":["10.1142\/S0129065705000207"],"URL":"https:\/\/doi.org\/10.1142\/s0129065705000207","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,6]]}}}