{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T23:23:38Z","timestamp":1729639418109,"version":"3.28.0"},"reference-count":10,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1109\/icip.2004.1421871","type":"proceedings-article","created":{"date-parts":[[2005,4,19]],"date-time":"2005-04-19T19:05:35Z","timestamp":1113937535000},"page":"3503-3506","source":"Crossref","is-referenced-by-count":5,"title":["A heuristic k-means clustering algorithm by kernel pca"],"prefix":"10.1109","volume":"5","author":[{"family":"Mantao Xu","sequence":"first","affiliation":[]},{"given":"P.","family":"Franti","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"3","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1109\/TNN.2002.1000150","article-title":"Mercer Kernel based clustering in feature space","volume":"13","author":"girolami","year":"2002","journal-title":"IEEE Trans on Neural Networks"},{"journal-title":"Computers and Intractability A Guide to NP-Completeness","year":"1979","author":"garey","key":"2"},{"key":"10","article-title":"Delta-MSE dissimilarity in GLA-based vector quantization","author":"xu","year":"2004","journal-title":"Proceedings of IEEE Int Conf on Acoustics Speech and Signal Processing (ICASSP'04)"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(97)00127-1"},{"journal-title":"UCI repository of machine learning databases and domain theories","year":"2003","key":"7"},{"key":"6","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/978-1-4471-1599-1_18","article-title":"Kernel PCA pattern reconstruction via approximate pre-images","author":"scho?kopf","year":"1998","journal-title":"Proc Int Conf Artif Neural Netw Perspectives Neural Comput"},{"key":"5","first-page":"327","article-title":"Kernel principal component analysis","author":"scho?kopf","year":"1999","journal-title":"Advances in Kernel Methods - Support Vector Learning"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(02)00060-2"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/18.256513"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1145\/146443.146475"}],"event":{"name":"2004 International Conference on Image Processing, 2004. ICIP '04.","location":"Singapore"},"container-title":["2004 International Conference on Image Processing, 2004. ICIP '04."],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/9716\/30680\/01421871.pdf?arnumber=1421871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,14]],"date-time":"2019-02-14T14:21:51Z","timestamp":1550154111000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/1421871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/icip.2004.1421871","relation":{},"subject":[]}}