{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:19:04Z","timestamp":1771949944587,"version":"3.50.1"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319234601","type":"print"},{"value":"9783319234618","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-23461-8_43","type":"book-chapter","created":{"date-parts":[[2015,8,28]],"date-time":"2015-08-28T08:20:16Z","timestamp":1440750016000},"page":"337-340","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Visualization Support to Interactive Cluster Analysis"],"prefix":"10.1007","author":[{"given":"Gennady","family":"Andrienko","sequence":"first","affiliation":[]},{"given":"Natalia","family":"Andrienko","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,29]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Andrienko, G., Andrienko, N., Bak, P., Keim, D., Wrobel, S.: Visual Analytics of Movement. Springer (2013)","DOI":"10.1007\/978-3-642-37583-5"},{"key":"43_CR2","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann (2011)"},{"issue":"1","key":"43_CR3","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1179\/000870405X57284","volume":"42","author":"G Andrienko","year":"2005","unstructured":"Andrienko, G., Andrienko, N.: Blending aggregation and selection: Adapting parallel coordinates for the visualization of large datasets. The Cartographic Journal 42(1), 49\u201360 (2005)","journal-title":"The Cartographic Journal"},{"key":"43_CR4","unstructured":"van Wijk, J.J., van Selow, E.R.: Cluster and calendar based visualization of time series data. In: Proc. Information Visualization, pp. 4\u20139 (1999)"},{"issue":"3","key":"43_CR5","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1111\/j.1467-8659.2009.01664.x","volume":"29","author":"G Andrienko","year":"2010","unstructured":"Andrienko, G., Andrienko, N., Bremm, S., Schreck, T., von Landesberger, T., Bak, P., Keim, D.: Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. Computer Graphics Forum 29(3), 913\u2013922 (2010)","journal-title":"Computer Graphics Forum"},{"issue":"7","key":"43_CR6","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MC.2002.1016905","volume":"35","author":"J Seo","year":"2002","unstructured":"Seo, J., Shneiderman, B.: Interactively exploring hierarchical clustering results. Computer 35(7), 80\u201386 (2002)","journal-title":"Computer"},{"key":"43_CR7","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1109\/T-C.1969.222678","volume":"18","author":"JW Sammon","year":"1969","unstructured":"Sammon, J.W.: A nonlinear mapping for data structure analysis. IEEE Transactions on Computers 18, 401\u2013409 (1969)","journal-title":"IEEE Transactions on Computers"},{"issue":"3\u20134","key":"43_CR8","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1057\/palgrave.ivs.9500183","volume":"7","author":"S Rinzivillo","year":"2008","unstructured":"Rinzivillo, S., Pedreschi, D., Nanni, M., Giannotti, F., Andrienko, N., Andrienko, G.: Visually driven analysis of movement data by progressive clustering. Information Visualization 7(3\u20134), 225\u2013239 (2008)","journal-title":"Information Visualization"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23461-8_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T00:14:35Z","timestamp":1599437675000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-23461-8_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319234601","9783319234618"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23461-8_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"29 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}