{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:37:42Z","timestamp":1743089862261,"version":"3.40.3"},"publisher-location":"Cham","reference-count":43,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319188324"},{"type":"electronic","value":"9783319188331"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-18833-1_16","type":"book-chapter","created":{"date-parts":[[2015,5,22]],"date-time":"2015-05-22T14:48:15Z","timestamp":1432306095000},"page":"148-155","source":"Crossref","is-referenced-by-count":2,"title":["On the Spectral Clustering for Dynamic Data"],"prefix":"10.1007","author":[{"given":"D. H.","family":"Peluffo-Ord\u00f3\u00f1ez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. C.","family":"Alvarado-P\u00e9rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. E.","family":"Castro-Ospina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"8","key":"16_CR1","doi-asserted-by":"publisher","first-page":"2362","DOI":"10.1016\/j.sigpro.2009.09.005","volume":"90","author":"D. Truong Cong","year":"2010","unstructured":"Truong Cong, D., Khoudour, L., Achard, C., Meurie, C., Lezoray, O.: People re-identification by spectral classification of silhouettes. Signal Processing\u00a090(8), 2362\u20132374 (2010)","journal-title":"Signal Processing"},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Wang, L., Dong, M.: Multi-level low-rank approximation-based spectral clustering for image segmentation. Pattern Recognition Letters (2012)","DOI":"10.1016\/j.patrec.2012.07.024"},{"key":"16_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/978-3-642-34654-5_51","volume-title":"Advances in Artificial Intelligence \u2013 IBERAMIA 2012","author":"S. Molina-Giraldo","year":"2012","unstructured":"Molina-Giraldo, S., \u00c1lvarez-Meza, A.M., Peluffo-Ordo\u00f1ez, D.H., Castellanos-Dom\u00ednguez, G.: Image segmentation based on multi-kernel learning and feature relevance analysis. In: Pav\u00f3n, J., Duque-M\u00e9ndez, N.D., Fuentes-Fern\u00e1ndez, R. (eds.) IBERAMIA 2012. LNCS, vol.\u00a07637, pp. 501\u2013510. Springer, Heidelberg (2012)"},{"key":"16_CR4","unstructured":"Zhang, D., Lin, C., Chang, S., Smith, J.: Semantic video clustering across sources using bipartite spectral clustering. In: 2004 IEEE International Conference on Multimedia and Expo, ICME 2004, vol.\u00a01, pp. 117\u2013120. IEEE (2004)"},{"key":"16_CR5","first-page":"313","volume-title":"ICCV 2003: Proceedings of the Ninth IEEE International Conference on Computer Vision","author":"X.Y. Stella","year":"2003","unstructured":"Stella, X.Y., Jianbo, S.: Multiclass spectral clustering. In: ICCV 2003: Proceedings of the Ninth IEEE International Conference on Computer Vision, p. 313. IEEE Computer Society, Washington, DC (2003)"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Zhou, F., Torre, F., Hodgins, J.: Aligned cluster analysis for temporal segmentation of human motion. In: 8th IEEE International Conference on Automatic Face & Gesture Recognition, FG 2008, pp. 1\u20137. IEEE (2008)","DOI":"10.1109\/AFGR.2008.4813468"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Keshet, J., Bengio, S.: Automatic speech and speaker recognition: Large margin and kernel methods. Wiley (2009)","DOI":"10.1002\/9780470742044"},{"issue":"5","key":"16_CR8","doi-asserted-by":"publisher","first-page":"7","DOI":"10.2202\/1934-2659.1383","volume":"4","author":"M. Maestri","year":"2009","unstructured":"Maestri, M., Cassanello, M., Horowitz, G.: Kernel pca performance in processes with multiple operation modes. Chemical Product and Process Modeling\u00a04(5), 7 (2009)","journal-title":"Chemical Product and Process Modeling"},{"issue":"8","key":"16_CR9","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":"16_CR10","unstructured":"Ng, A.Y., Jordan, M.I., Weiss, Y.: On spectral clustering: Analysis and an algorithm. In: Advances in Neural Information Processing Systems 14, pp. 849\u2013856. MIT Press (2001)"},{"key":"16_CR11","unstructured":"Shi, J., Malik, J.: A random walks view of spectral segmentation. In: AI and Statistics (AISTATS) (2001)"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Anh, B.T., Thanh, D.D.X.: A perron-frobenius theorem for positive quasipolynomial matrices associated with homogeneous difference equations. Journal of Applied Mathematics (2007)","DOI":"10.1155\/2007\/26075"},{"key":"16_CR13","unstructured":"Ng, A.Y., Jordan, M.I., Weiss, Y.: On spectral clustering: Analysis and an algorithm. In: Advances in Neural Information Processing Systems 14, pp. 849\u2013856. MIT Press (2001)"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Peluffo-Ord\u00f3\u00f1ez, D.H., Castro-Hoyos, C., Acosta-Medina, C.D., Castellanos-Dom\u00ednguez, G.: Quadratic problem formulation with linear constraints for normalized cut clustering. In: Bayro-Corrochano, E., Hancock, E. (eds.) CIARP 2014. LNCS, vol.\u00a08827, pp. 408\u2013415. Springer, Heidelberg (2014)","DOI":"10.1007\/978-3-319-12568-8_50"},{"issue":"11","key":"16_CR15","doi-asserted-by":"publisher","first-page":"1944","DOI":"10.1109\/TPAMI.2007.1115","volume":"29","author":"I.S. Dhillon","year":"2007","unstructured":"Dhillon, I.S., Guan, Y., Kulis, B.: Weighted graph cuts without eigenvectors a multilevel approach. IEEE Trans. Pattern Anal. Mach. Intell.\u00a029(11), 1944\u20131957 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"16_CR16","first-page":"1963","volume":"7","author":"F. Bach","year":"2006","unstructured":"Bach, F., Jordan, M.: Learning spectral clustering, with application to speech separation. The Journal of Machine Learning Research\u00a07, 1963\u20132001 (2006)","journal-title":"The Journal of Machine Learning Research"},{"key":"16_CR17","unstructured":"Zelnik-manor, L., Perona, P.: Self-tuning spectral clustering. In: Advances in Neural Information Processing Systems 17, pp. 1601\u20131608. MIT Press (2004)"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Ding, C., He, X.: Linearized cluster assignment via spectral ordering. In: Machine Learning-International Workshop Then Conference, vol.\u00a021, p. 233. Citeseer (2004)","DOI":"10.1145\/1015330.1015407"},{"key":"16_CR19","unstructured":"Higham, D., Kibble, M.: A unified view of spectral clustering. In: Mathematics Research Report 2. University of Strathclyde (2004)"},{"key":"16_CR20","doi-asserted-by":"crossref","unstructured":"Bengio, Y., Paiement, J., Vincent, P., Delalleau, O., Le Roux, N., Ouimet, M.: Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, p. 177. The MIT Press (2004)","DOI":"10.1162\/0899766041732396"},{"key":"16_CR21","doi-asserted-by":"crossref","unstructured":"Fowlkes, C., Belongie, S., Chung, F., Malik, J.: Spectral grouping using the Nystr\u00f6m method. IEEE Transactions on Pattern Analysis and Machine Intelligence, 214\u2013225 (2004)","DOI":"10.1109\/TPAMI.2004.1262185"},{"key":"16_CR22","volume-title":"The numerical treatment of integral equations","author":"C. Baker","year":"1977","unstructured":"Baker, C.: The numerical treatment of integral equations, vol.\u00a013. Clarendon press Oxford, UK (1977)"},{"key":"16_CR23","unstructured":"Williams, C., Seeger, M.: Using the Nystr\u00f6m method to speed up kernel machines. In: Advances in Neural Information Processing Systems 13. Citeseer (2001)"},{"key":"16_CR24","doi-asserted-by":"crossref","unstructured":"Ham, J., Lee, D., Mika, S., Sch\u00f6lkopf, B.: A kernel view of the dimensionality reduction of manifolds. In: Proceedings of the Twenty-first International Conference on Machine Learning, p. 47. ACM (2004)","DOI":"10.1145\/1015330.1015417"},{"key":"16_CR25","doi-asserted-by":"crossref","unstructured":"Alzate, C., Suykens, J.: A weighted kernel PCA formulation with out-of-sample extensions for spectral clustering methods. In: International Joint Conference on Neural Networks, IJCNN 2006, pp. 138\u2013144. IEEE (2006)","DOI":"10.1109\/IJCNN.2006.246671"},{"issue":"5","key":"16_CR26","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1162\/089976698300017467","volume":"10","author":"B. Sch\u00f6lkopf","year":"1998","unstructured":"Sch\u00f6lkopf, B., Smola, A., M\u00fcller, K.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation\u00a010(5), 1299\u20131319 (1998)","journal-title":"Neural Computation"},{"key":"16_CR27","doi-asserted-by":"crossref","unstructured":"Alzate, C., Suykens, J.: Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 335\u2013347 (2008)","DOI":"10.1109\/TPAMI.2008.292"},{"key":"16_CR28","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1109\/43.310898","volume":"13","author":"P.K. Chan","year":"1994","unstructured":"Chan, P.K., Schlag, M.D.F., Zien, J.T.: Spectral K-way ratio cut partitioning and clustering. IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems\u00a013, 1088\u20131096 (1994)","journal-title":"IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems"},{"key":"16_CR29","doi-asserted-by":"crossref","unstructured":"Suykens, J., Gestel, T.V., Brabanter, J.D., Moor, B.D., Vandewalle, J.: Least squares support vector machines. World Scientific Pub. Co. Inc. (2002)","DOI":"10.1142\/5089"},{"issue":"2","key":"16_CR30","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/TNN.2003.809414","volume":"14","author":"J. Suykens","year":"2003","unstructured":"Suykens, J., Van Gestel, T., Vandewalle, J., De Moor, B.: A support vector machine formulation to PCA analysis and its kernel version. IEEE Transactions on Neural Networks\u00a014(2), 447\u2013450 (2003)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"16_CR31","doi-asserted-by":"crossref","unstructured":"Alzate, C., Suykens, J.: Sparse kernel models for spectral clustering using the incomplete cholesky decomposition. In: IEEE International Joint Conference on Neural Networks, IJCNN 2008 (IEEE World Congress on Computational Intelligence), pp. 3556\u20133563. IEEE (2008)","DOI":"10.1109\/IJCNN.2008.4634306"},{"key":"16_CR32","unstructured":"Peluffo-Ordez, D.H., Alzate, C., Suykens, J.A.K., Castellanos-Domnguez, G.: Optimal data projection for kernel spectral clustering. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 553\u2013558 (2014)"},{"key":"16_CR33","doi-asserted-by":"crossref","unstructured":"Shirazi, S., Harandi, M.T., Sanderson, C., Alavi, A., Lovell, B.C.: Clustering on grassmann manifolds via kernel embedding with application to action analysis. In: Proc. IEEE International Conference on Image Processing (2012)","DOI":"10.1109\/ICIP.2012.6466976"},{"issue":"1","key":"16_CR34","first-page":"19","volume":"6","author":"L. Sudha","year":"2012","unstructured":"Sudha, L., Bhavani, R.: Performance comparison of svm and knn in automatic classification of human gait patterns. Int. J. Comput.\u00a06(1), 19\u201328 (2012)","journal-title":"Int. J. Comput."},{"key":"16_CR35","unstructured":"Tak\u00e1cs, B., Butler, S., Demiris, Y.: Multi-agent behaviour segmentation via spectral clustering. In: Proceedings of the AAAI 2007, PAIR Workshop, pp. 74\u201381 (2007)"},{"key":"16_CR36","unstructured":"Chan, A., Vasconcelos, N.: Probabilistic kernels for the classification of auto-regressive visual processes (2005)"},{"issue":"24","key":"16_CR37","doi-asserted-by":"publisher","first-page":"5897","DOI":"10.1016\/j.ces.2004.07.019","volume":"59","author":"S. Choi","year":"2004","unstructured":"Choi, S., Lee, I.: Nonlinear dynamic process monitoring based on dynamic kernel pca. Chemical Engineering Science\u00a059(24), 5897\u20135908 (2004)","journal-title":"Chemical Engineering Science"},{"key":"16_CR38","doi-asserted-by":"crossref","unstructured":"Langone, R., Alzate, C., Suykens, J.A.: Kernel spectral clustering with memory effect. Physica A: Statistical Mechanics and its Applications (2013)","DOI":"10.1016\/j.physa.2013.01.058"},{"key":"16_CR39","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-642-33275-3_15","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"F.A. Gonz\u00e1lez","year":"2012","unstructured":"Gonz\u00e1lez, F.A., Bermeo, D., Ramos, L., Nasraoui, O.: On the robustness of kernel-based clustering. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.) CIARP 2012. LNCS, vol.\u00a07441, pp. 122\u2013129. Springer, Heidelberg (2012)"},{"issue":"1","key":"16_CR40","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/TFUZZ.2011.2170175","volume":"20","author":"H. Huang","year":"2012","unstructured":"Huang, H., Chuang, Y., Chen, C.: Multiple kernel fuzzy clustering. IEEE Transactions on Fuzzy Systems\u00a020(1), 120\u2013134 (2012)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"16_CR41","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1007\/978-3-642-38637-4_27","volume-title":"Natural and Artificial Models in Computation and Biology","author":"D. Peluffo-Ord\u00f3\u00f1ez","year":"2013","unstructured":"Peluffo-Ord\u00f3\u00f1ez, D., Garc\u00eda-Vega, S., Castellanos-Dom\u00ednguez, C.G.: Kernel spectral clustering for motion tracking: A first approach. In: Ferr\u00e1ndez Vicente, J.M., \u00c1lvarez S\u00e1nchez, J.R., de la Paz L\u00f3pez, F., Toledo Moreo, F. J. (eds.) IWINAC 2013, Part I. LNCS, vol.\u00a07930, pp. 264\u2013273. Springer, Heidelberg (2013)"},{"key":"16_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/978-3-642-41822-8_30","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"D.H. Peluffo-Ord\u00f3\u00f1ez","year":"2013","unstructured":"Peluffo-Ord\u00f3\u00f1ez, D.H., Garc\u00eda-Vega, S., \u00c1lvarez-Meza, A.M., Castellanos-Dom\u00ednguez, C.G.: Kernel spectral clustering for dynamic data. In: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds.) CIARP 2013, Part I. LNCS, vol.\u00a08258, pp. 238\u2013245. Springer, Heidelberg (2013)"},{"key":"16_CR43","doi-asserted-by":"crossref","unstructured":"Peluffo-Ord\u00f3nez, D., Garcia-Vega, S., Langone, R., Suykens, J.A., Castellanos-Dominguez, G.: Kernel spectral clustering for dynamic data using multiple kernel learning. In: The 2013 International Joint Conference on Neural Networks, pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/IJCNN.2013.6706858"}],"container-title":["Lecture Notes in Computer Science","Bioinspired Computation in Artificial Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-18833-1_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T01:12:21Z","timestamp":1676941941000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-18833-1_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319188324","9783319188331"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-18833-1_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}