{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T07:07:05Z","timestamp":1774940825372,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2007,6,20]],"date-time":"2007-06-20T00:00:00Z","timestamp":1182297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2007,6,20]]},"DOI":"10.1145\/1273496.1273599","type":"proceedings-article","created":{"date-parts":[[2008,10,7]],"date-time":"2008-10-07T13:06:52Z","timestamp":1223384812000},"page":"815-822","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":64,"title":["A dependence maximization view of clustering"],"prefix":"10.1145","author":[{"given":"Le","family":"Song","sequence":"first","affiliation":[{"name":"University of Sydney"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alex","family":"Smola","sequence":"additional","affiliation":[{"name":"Statistical Machine Learning Program, Canberra, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arthur","family":"Gretton","sequence":"additional","affiliation":[{"name":"MPI for Biological Cybernetics, T\u00fcbingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karsten M.","family":"Borgwardt","sequence":"additional","affiliation":[{"name":"LMU, Oettingenstr., M\u00fcnchen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2007,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014118"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015408"},{"key":"e_1_3_2_1_3_1","first-page":"243","article-title":"Efficient SVM training using low-rank kernel representations","volume":"2","author":"Fine S.","year":"2001","unstructured":"Fine , S. , & Scheinberg , K. ( 2001 ). Efficient SVM training using low-rank kernel representations . JMLR , 2 , 243 -- 264 . Fine, S., & Scheinberg, K. (2001). Efficient SVM training using low-rank kernel representations. JMLR, 2, 243--264.","journal-title":"JMLR"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005335"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1000150"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/11564089_7"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/990308.990313"},{"key":"e_1_3_2_1_8_1","volume-title":"Integer convex maximization. arXiv:math.CO\/0609019","author":"Loera J. D.","year":"2006","unstructured":"Loera , J. D. , Hemmecke , R. , Onn , S. , Rothblum , U. , & Weismantel , R. ( 2006 ). Integer convex maximization. arXiv:math.CO\/0609019 . Loera, J. D., Hemmecke, R., Onn, S., Rothblum, U., & Weismantel, R. (2006). Integer convex maximization. arXiv:math.CO\/0609019."},{"key":"e_1_3_2_1_9_1","volume-title":"Proc. 5th Berkeley Symposium on Math., Stat., and Prob., 281","author":"MacQueen J.","year":"1967","unstructured":"MacQueen , J. ( 1967 ). Some methods of classification and analysis of multivariate observations. In L. M. LeCam, & J. Neyman, eds ., Proc. 5th Berkeley Symposium on Math., Stat., and Prob., 281 . U. California Press. MacQueen, J. (1967). Some methods of classification and analysis of multivariate observations. In L. M. LeCam, & J. Neyman, eds., Proc. 5th Berkeley Symposium on Math., Stat., and Prob., 281. U. California Press."},{"key":"e_1_3_2_1_10_1","volume-title":"Data centering in feature space. AISTATS","author":"Meil\u01ce M.","year":"2003","unstructured":"Meil\u01ce , M. ( 2003 ). Data centering in feature space. AISTATS . Meil\u01ce, M. (2003). Data centering in feature space. AISTATS."},{"key":"e_1_3_2_1_11_1","volume-title":"The local equivalence of two distances between clustering: the misclassification error metric and the chi-squared distance. ICML","author":"Meil\u01ce M.","year":"2005","unstructured":"Meil\u01ce , M. ( 2005 ). The local equivalence of two distances between clustering: the misclassification error metric and the chi-squared distance. ICML . Meil\u01ce, M. (2005). The local equivalence of two distances between clustering: the misclassification error metric and the chi-squared distance. ICML."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143923"},{"key":"e_1_3_2_1_13_1","volume-title":"NIPS.","author":"Nemenman I.","year":"2002","unstructured":"Nemenman , I. , Shafee , F. , & Bialek , W. ( 2002 ). Entropy and inference, revisited . In NIPS. Nemenman, I., Shafee, F., & Bialek, W. (2002). Entropy and inference, revisited. In NIPS."},{"key":"e_1_3_2_1_14_1","volume-title":"NIPS.","author":"Ng A.","year":"2002","unstructured":"Ng , A. , Jordan , M. , & Weiss , Y. ( 2002 ). Spectral clustering: Analysis and an algorithm . In NIPS. Ng, A., Jordan, M., & Weiss, Y. (2002). Spectral clustering: Analysis and an algorithm. In NIPS."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.895976"},{"key":"e_1_3_2_1_16_1","volume-title":"Learning with Kernels","author":"Sch\u00f6lkopf B.","year":"2002","unstructured":"Sch\u00f6lkopf , B. , & Smola , A. ( 2002 ). Learning with Kernels . Cambridge, MA : MIT Press . Sch\u00f6lkopf, B., & Smola, A. (2002). Learning with Kernels. Cambridge, MA: MIT Press."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017467"},{"key":"e_1_3_2_1_18_1","volume-title":"Normalized cuts and image segmentation. CVPR","author":"Shi J.","year":"1997","unstructured":"Shi , J. , & Malik , J. ( 1997 ). Normalized cuts and image segmentation. CVPR . Shi, J., & Malik, J. (1997). Normalized cuts and image segmentation. CVPR."},{"key":"e_1_3_2_1_20_1","volume-title":"COLT.","author":"Smola A. J.","year":"2003","unstructured":"Smola , A. J. , & Kondor , I. R. ( 2003 ). Kernels and regularization on graphs . In COLT. Smola, A. J., & Kondor, I. R. (2003). Kernels and regularization on graphs. In COLT."},{"key":"e_1_3_2_1_21_1","volume-title":"NICTA, ANU.","author":"Song L.","year":"2007","unstructured":"Song , L. , Smola , A. , Gretton , A. , & Borgwardt , K. ( 2007 ). Clustering via dependence maximization. Tech. rep ., NICTA, ANU. Song, L., Smola, A., Gretton, A., & Borgwardt, K. (2007). Clustering via dependence maximization. Tech. rep., NICTA, ANU."},{"key":"e_1_3_2_1_22_1","volume-title":"An introduction to nonlinear dimensionality reduction by maximum variance unfolding. AAAI","author":"Weinberger K. Q.","year":"2006","unstructured":"Weinberger , K. Q. , & Saul , L. K. ( 2006 ). An introduction to nonlinear dimensionality reduction by maximum variance unfolding. AAAI . Weinberger, K. Q., & Saul, L. K. (2006). An introduction to nonlinear dimensionality reduction by maximum variance unfolding. AAAI."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143975"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.27"},{"key":"e_1_3_2_1_25_1","volume-title":"NIPS.","author":"Zha H.","year":"2001","unstructured":"Zha , H. , Ding , C. , Gu , M. , He , X. , & Simon , H. ( 2001 ). Spectral relaxation for k-means clustering . In NIPS. Zha, H., Ding, C., Gu, M., He, X., & Simon, H. (2001). Spectral relaxation for k-means clustering. In NIPS."}],"event":{"name":"ICML '07 & ILP '07: The 24th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Corvalis Oregon USA","acronym":"ICML '07 & ILP '07","sponsor":["Machine Learning Journal"]},"container-title":["Proceedings of the 24th international conference on Machine learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273599","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1273496.1273599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:58:01Z","timestamp":1750258681000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,6,20]]},"references-count":24,"alternative-id":["10.1145\/1273496.1273599","10.1145\/1273496"],"URL":"https:\/\/doi.org\/10.1145\/1273496.1273599","relation":{},"subject":[],"published":{"date-parts":[[2007,6,20]]},"assertion":[{"value":"2007-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}