{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T04:16:47Z","timestamp":1749010607826,"version":"3.41.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319401614"},{"type":"electronic","value":"9783319401621"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-40162-1_28","type":"book-chapter","created":{"date-parts":[[2016,5,31]],"date-time":"2016-05-31T07:59:51Z","timestamp":1464681591000},"page":"255-264","source":"Crossref","is-referenced-by-count":0,"title":["On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint"],"prefix":"10.1007","author":[{"given":"D. H.","family":"Peluffo-Ord\u00f3\u00f1ez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. A.","family":"Becerra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. E.","family":"Castro-Ospina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"X.","family":"Blanco-Valencia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. C.","family":"Alvarado-P\u00e9rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Ther\u00f3n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Anaya-Isaza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,1]]},"reference":[{"key":"28_CR1","unstructured":"Belanche Mu\u00f1oz, L.A.: Developments in kernel design. In: European Symposium on Artificial Neural Networks (ESANN 2013). Computational Intelligence and Machine Learning, Bruges, Belgium, pp. 369\u2013378 (2013)"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Aldrich, C., Auret, L.: Statistical learning theory and kernel-based methods. In: Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods, pp. 117\u2013181. Springer (2013)","DOI":"10.1007\/978-1-4471-5185-2_4"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Wu, Y., Ma, W., Gong, M., Li, H., Jiao, L.: Novel fuzzy active contour model with kernel metric for image segmentation. Applied Soft Computing (2015)","DOI":"10.1016\/j.asoc.2015.04.058"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Molina-Giraldo, S., \u00c1lvarez-Meza, A., Peluffo-Ord\u00f3\u00f1ez, D., Castellanos-Dom\u00ednguez, G.: Image segmentation based on multi-kernel learning and feature relevance analysis. In: Advances in Artificial Intelligence\u2013IBERAMIA 2012, pp. 501\u2013510 (2012)","DOI":"10.1007\/978-3-642-34654-5_51"},{"key":"28_CR5","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":"28_CR6","doi-asserted-by":"crossref","unstructured":"Peluffo-Ord\u00f3nez, D., Garcia-Vega, S., Langone, R., Suykens, J., Castellanos-Dominguez, G., et al.: Kernel spectral clustering for dynamic data using multiple kernel learning. In: The 2013 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/IJCNN.2013.6706858"},{"issue":"4","key":"28_CR7","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/MSP.2013.2253631","volume":"30","author":"Z Harchaoui","year":"2013","unstructured":"Harchaoui, Z., Bach, F., Capp\u00e9, O., Moulines, E.: Kernel-based methods for hypothesis testing: a unified view. IEEE Signal Processing Magazine 30(4), 87\u201397 (2013)","journal-title":"IEEE Signal Processing Magazine"},{"issue":"1","key":"28_CR8","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.patcog.2007.05.018","volume":"41","author":"M Filippone","year":"2008","unstructured":"Filippone, M., Camastra, F., Masulli, F., Rovetta, S.: A survey of kernel and spectral methods for clustering. Pattern recognition 41(1), 176\u2013190 (2008)","journal-title":"Pattern recognition"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Alvarado-P\u00e9rez, J.C., Peluffo-Ord\u00f3\u0144ez, D.H.: Artificial and natural intelligence integration. In: 12th International Conference on Distributed Computing and Artificial Intelligence (DCAI 2016), pp. 167\u2013173. Springer (2015)","DOI":"10.1007\/978-3-319-19638-1_19"},{"issue":"1","key":"28_CR10","doi-asserted-by":"crossref","first-page":"54","DOI":"10.14201\/ADCAIJ2015415464","volume":"4","author":"JC Alvarado-P\u00e9rez","year":"2015","unstructured":"Alvarado-P\u00e9rez, J.C., Peluffo-Ord\u00f3\u00f1ez, D.H., Ther\u00f3n, R.: Bridging the gap between human knowledge and machine learning. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 4(1), 54\u201364 (2015)","journal-title":"ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal"},{"key":"28_CR11","unstructured":"Peluffo-Ord\u00f3\u00f1ez, D.H., Lee, J.A., Verleysen, M.: Recent methods for dimensionality reduction: a brief comparative analysis. In: European Symposium on Artificial Neural Networks (ESANN). Citeseer (2014)"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Ham, J., Lee, D.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":"28_CR13","doi-asserted-by":"crossref","unstructured":"Peluffo-Ordonez, D.H., Aldo Lee, J., Verleysen, M.: Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp. 171\u2013177. IEEE (2014)","DOI":"10.1109\/CIDM.2014.7008664"},{"key":"28_CR14","unstructured":"Peluffo-Ord\u00f3nez, D.H., Alvarado-P\u00e9rez, J.C., Lee, J.A., Verleysen, M.: Geometrical homotopy for data visualization. In: European Symposium on Artificial Neural Networks (ESANN 2015). Computational Intelligence and Machine Learning (2015)"},{"key":"28_CR15","unstructured":"Peluffo-Ord\u00f3nez, D.H., Alzate, C., Suykens, J.A.K., Castellanos-Dom\u00ednguez, 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":"28_CR16","doi-asserted-by":"crossref","unstructured":"Wolf, L., Bileschi, S.: Combining variable selection with dimensionality reduction. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 2, pp. 801 \u2013 806, June 2005","DOI":"10.1109\/CVPR.2005.103"},{"key":"28_CR17","unstructured":"Peluffo, D.H., Lee, J.A., Verleysen, M., Rodr\u00edguez-Sotelo, J.L., Castellanos-Dom\u00ednguez, G.: Unsupervised relevance analysis for feature extraction and selection: a distance-based approach for feature relevance. In: International Conference on Pattern Recognition, Applications and Methods - ICPRAM (2014)"},{"key":"28_CR18","first-page":"1855","volume":"6","author":"L Wolf","year":"2005","unstructured":"Wolf, L., Shashua, A.: Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach. Journal of machine learning 6, 1855\u20131887 (2005)","journal-title":"Journal of machine learning"},{"issue":"2","key":"28_CR19","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1109\/TPAMI.2008.292","volume":"32","author":"C Alzate","year":"2010","unstructured":"Alzate, C., Suykens, J.A.K.: Multiway spectral clustering with out-of-sample extensions through weighted kernel pca. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(2), 335\u2013347 (2010)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"28_CR20","doi-asserted-by":"crossref","unstructured":"Seeland, M., Karwath, A., Kramer, S.: A structural cluster kernel for learning on graphs. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 516\u2013524. ACM (2012)","DOI":"10.1145\/2339530.2339614"},{"issue":"1","key":"28_CR21","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/s10115-010-0318-8","volume":"28","author":"C Domeniconi","year":"2011","unstructured":"Domeniconi, C., Peng, J., Yan, B.: Composite kernels for semi-supervised clustering. Knowledge and information systems 28(1), 99\u2013116 (2011)","journal-title":"Knowledge and information systems"},{"key":"28_CR22","doi-asserted-by":"crossref","unstructured":"Sch\u00f6lkopf, B., Smola, A.J.: Learning with Kernels (2002)","DOI":"10.7551\/mitpress\/4175.001.0001"},{"key":"28_CR23","first-page":"310","volume":"2014","author":"DH Peluffo-Ord\u00f3\u00f1ez","year":"2014","unstructured":"Peluffo-Ord\u00f3\u00f1ez, D.H., Lee, J.A., Verleysen, M., Rodr\u0131guez, J.L., Castellanos-Dom\u0131nguez, G.: Unsupervised relevance analysis for feature extraction and selection. ICPRAM 2014, 310\u2013315 (2014)","journal-title":"ICPRAM"}],"container-title":["Advances in Intelligent Systems and Computing","Distributed Computing and Artificial Intelligence, 13th International Conference"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-40162-1_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T20:02:35Z","timestamp":1748980955000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-40162-1_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319401614","9783319401621"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-40162-1_28","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016]]}}}