{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:01:00Z","timestamp":1725516060666},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540691594"},{"type":"electronic","value":"9783540691624"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-69162-4_29","type":"book-chapter","created":{"date-parts":[[2008,7,31]],"date-time":"2008-07-31T06:38:20Z","timestamp":1217486300000},"page":"274-284","source":"Crossref","is-referenced-by-count":2,"title":["Spherical and Torus SOM Approaches to Metabolic Syndrome Evaluation"],"prefix":"10.1007","author":[{"given":"Peter K.","family":"Kihato","sequence":"first","affiliation":[]},{"given":"Heizo","family":"Tokutaka","sequence":"additional","affiliation":[]},{"given":"Masaaki","family":"Ohkita","sequence":"additional","affiliation":[]},{"given":"Kikuo","family":"Fujimura","sequence":"additional","affiliation":[]},{"given":"Kazuhiko","family":"Kotani","sequence":"additional","affiliation":[]},{"given":"Yoichi","family":"Kurozawa","sequence":"additional","affiliation":[]},{"given":"Yoshio","family":"Maniwa","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Kohonen, T.: Self-Organizing Maps. Springer series in information Sciences, vol.\u00a030 (2001)","DOI":"10.1007\/978-3-642-56927-2"},{"key":"29_CR2","unstructured":"Ultsch, A.: Maps for the Visualization of high-dimensional Data Spaces. In: Proceedings Workshop on Self-Organizing Maps (WSOM 2003), Kyushu, Japan, pp. 225\u2013230 (2003)"},{"key":"29_CR3","unstructured":"Ultsch, A.: U-Matrix: a Tool to visualize Clusters in high dimensional Data, Technical Report No. 36, Dept. of Mathematics and Computer Science, University of Marburg, Germany (2003)"},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Ultsch, A.: Data mining and Knowledge Discovery with Emergent Self-Organizing Feature Maps for Multivariate Time. In: Kohonen Maps, pp. 33\u201346 (1999)","DOI":"10.1016\/B978-044450270-4\/50003-6"},{"key":"29_CR5","first-page":"95","volume-title":"Kohonen Maps","author":"H. Ritter","year":"1999","unstructured":"Ritter, H.: Self-Organizing Maps on non-Euclidean Spaces. In: Oja, E., Kaski, S. (eds.) Kohonen Maps, pp. 95\u2013110. Elsevier, Amsterdam (1999)"},{"key":"29_CR6","unstructured":"Nakatsuka, D., Oyabu, M.: Application of Spherical SOM in Clustering. In: Proceedings of Workshop on Self-Organizing Maps (WSOM 2003), pp. 203\u2013207 (2003)"},{"key":"29_CR7","unstructured":"Kurosawa, H., Maniwa, Y., Fujimura, K., Tokutaka, H., Ohkita, M.: Construction of checkup system by Self-Organizing Maps. In: Proceedings of workshop on Self-Organizing Maps (WSOM 2003), pp. 144\u2013149 (2003)"},{"key":"29_CR8","unstructured":"SOM Japan Inc., http:\/\/www.somj.com\/"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-69162-4_29.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T04:29:21Z","timestamp":1620016161000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-69162-4_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540691594","9783540691624"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-69162-4_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}