{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T07:35:23Z","timestamp":1725521723583},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540891963"},{"type":"electronic","value":"9783540891970"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-89197-0_36","type":"book-chapter","created":{"date-parts":[[2008,12,3]],"date-time":"2008-12-03T12:23:50Z","timestamp":1228307030000},"page":"382-393","source":"Crossref","is-referenced-by-count":6,"title":["Clustering with Feature Order Preferences"],"prefix":"10.1007","author":[{"given":"Jun","family":"Sun","sequence":"first","affiliation":[]},{"given":"Wenbo","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Jiangwei","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Zhiyong","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Yidong","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"36_CR1","unstructured":"Asuncion, A., Newman, D.J.: UCI Machine Learning Repository. Irvine, CA: University of California, Department of Information and Computer Science (2007)"},{"key":"36_CR2","first-page":"1705","volume":"6","author":"A. Banerjee","year":"2005","unstructured":"Banerjee, A., Merugu, S., Dhillon, I.S., Ghosh, J.: Clustering with Bregman divergences. Journal of Machine Learning Research\u00a06, 1705\u20131749 (2005)","journal-title":"Journal of Machine Learning Research"},{"key":"36_CR3","doi-asserted-by":"crossref","unstructured":"Basu, S., Bilenko, M., Mooney, R.J.: A probabilistic framework for semi-supervised clustering. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2004)","DOI":"10.1145\/1014052.1014062"},{"key":"36_CR4","unstructured":"Bertsekas, D.P.: Nonlinear Programming, 2nd edn. Athena Scientific (1999)"},{"key":"36_CR5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441","volume-title":"Convex Optimization","author":"S. Boyd","year":"2004","unstructured":"Boyd, S., Vandenberghe, V.: Convex Optimization. Cambridge University Press, Cambridge (2004)"},{"key":"36_CR6","doi-asserted-by":"crossref","unstructured":"Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., Hullender, G.: Learning to rank using gradient descent. In: Proceedings of the Twenty-Second International Conference on Machine Learning (2005)","DOI":"10.1145\/1102351.1102363"},{"issue":"1","key":"36_CR7","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s10618-006-0060-8","volume":"14","author":"C. Domeniconi","year":"2007","unstructured":"Domeniconi, C., Gunopulos, D., Ma, S., Yan, B., Al-Razgan, M., Papadopoulos, D.: Locally adaptive metrics for clustering high dimensional data. Data Mining and Knowledge Discovery\u00a014(1), 63\u201397 (2007)","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"1","key":"36_CR8","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1145\/568574.568575","volume":"4","author":"V. Estivill-Castro","year":"2002","unstructured":"Estivill-Castro, V.: Why so many clustering algorithms \u2014 a position paper. SIGKDD Explorations\u00a04(1), 65\u201375 (2002)","journal-title":"SIGKDD Explorations"},{"issue":"3","key":"36_CR9","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A.K. Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A Review. ACM Computing Surveys\u00a031(3), 264\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Kulis, B., Basu, S., Dhillon, I.S., Mooney, R.J.: Semi-supervised graph clustering: a kernel approach. In: Proceedings of the Twenty-Second International Conference on Machine Learning (2005)","DOI":"10.1145\/1102351.1102409"},{"issue":"9","key":"36_CR11","doi-asserted-by":"publisher","first-page":"3233","DOI":"10.1109\/TIT.2007.903124","volume":"53","author":"P. Luo","year":"2007","unstructured":"Luo, P., Zhan, G., He, Q., Shi, Z., L\u00fc, K.: On defining partition entropy by inequalities. IEEE Transactions on Information Theory\u00a053(9), 3233\u20133239 (2007)","journal-title":"IEEE Transactions on Information Theory"},{"key":"36_CR12","volume-title":"Directional Statistics","author":"K.V. Mardia","year":"2000","unstructured":"Mardia, K.V., Jupp, P.E.: Directional Statistics, 2nd edn. John Wiley and Sons Ltd., Chichester (2000)","edition":"2"},{"issue":"3","key":"36_CR13","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1023\/A:1024016609528","volume":"52","author":"D.S. Modha","year":"2003","unstructured":"Modha, D.S., Spangler, W.S.: Feature weighting in k-means clustering. Machine Learning\u00a052(3), 217\u2013237 (2003)","journal-title":"Machine Learning"},{"issue":"8","key":"36_CR14","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J. Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a022(8), 888\u2013905 (2000)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"36_CR15","first-page":"583","volume":"3","author":"A. Strehl","year":"2002","unstructured":"Strehl, A., Ghosh, J.: Cluster ensembles \u2014 a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research\u00a03, 583\u2013617 (2002)","journal-title":"Journal of Machine Learning Research"},{"key":"36_CR16","doi-asserted-by":"crossref","unstructured":"Wu, M., Sch\u00f6lkopf, B.: A local learning approach for clustering. In: Advances in Neural Information Processing Systems, vol.\u00a019 (2006)","DOI":"10.7551\/mitpress\/7503.003.0196"},{"key":"36_CR17","unstructured":"Zhu, X., Goldberg, A.: Kernel regression with order preferences. In: Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (2007)"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2008: Trends in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-89197-0_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T02:57:50Z","timestamp":1709521070000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-89197-0_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540891963","9783540891970"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-89197-0_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}