{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:08:46Z","timestamp":1768313326835,"version":"3.49.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T00:00:00Z","timestamp":1566864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T00:00:00Z","timestamp":1566864000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the Natural Science Foundation of China","doi-asserted-by":"crossref","award":["71831002"],"award-info":[{"award-number":["71831002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61773352"],"award-info":[{"award-number":["61773352"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Program for Innovative Research Team in University of Ministry of Education of China","award":["IRT_17R13"],"award-info":[{"award-number":["IRT_17R13"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["3132019501"],"award-info":[{"award-number":["3132019501"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["3132019502"],"award-info":[{"award-number":["3132019502"]}]},{"name":"the Postdoctoral Science Foundation of China under Grant","award":["2019M651100"],"award-info":[{"award-number":["2019M651100"]}]},{"name":"the Natural Science Foundation of Liaoning Province","award":["2019-BS-029"],"award-info":[{"award-number":["2019-BS-029"]}]},{"name":"the Scocial Science Foundation of Liaoning Province","award":["L18DGL010"],"award-info":[{"award-number":["L18DGL010"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1007\/s13042-019-01007-3","type":"journal-article","created":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T13:03:16Z","timestamp":1566910996000},"page":"3167-3179","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Dynamic time alignment kernel-based fuzzy clustering of non-equal length vector time series"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1454-4087","authenticated-orcid":false,"given":"Hongyue","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lidong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,27]]},"reference":[{"issue":"C","key":"1007_CR1","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.is.2015.04.007","volume":"53","author":"S Aghabozorgi","year":"2015","unstructured":"Aghabozorgi S, Shirkhorshidi AS, Wah TY (2015) Time-series clustering\u2014a decade review. Inf Syst 53(C):16\u201338","journal-title":"Inf Syst"},{"key":"1007_CR2","unstructured":"Chen TY, Kuo FC, Merkel R (2004) On the statistical properties of the f-measure. In: Quality software, 2004. QSIC 2004. In: Proceedings of fourth international conference on, IEEE, pp 146\u2013153"},{"key":"1007_CR3","unstructured":"Cuturi M, Vert JP, Birkenes O, Matsui T (2006) A kernel for time series based on global alignments. In: IEEE international conference on acoustics, speech and signal processing, pp II-413\u2013II-416"},{"key":"1007_CR4","doi-asserted-by":"crossref","unstructured":"Dhillon IS, Guan Y, Kulis B (2004) Kernel k-means: spectral clustering and normalized cuts. In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, pp 551\u2013556","DOI":"10.1145\/1014052.1014118"},{"key":"1007_CR5","unstructured":"Dua D, Graff C (2017) UCI machine learning repository. \n                    http:\/\/archive.ics.uci.edu\/ml"},{"key":"1007_CR6","volume-title":"Cluster analysis","author":"B Everitt","year":"2001","unstructured":"Everitt B, Landau S, Leese M (2001) Cluster analysis, 4th edn. Arnold, Paris","edition":"4"},{"issue":"4","key":"1007_CR7","first-page":"522","volume":"161","author":"D Graves","year":"2010","unstructured":"Graves D, Pedrycz W (2010) Kernel-based fuzzy clustering and fuzzy clustering: a comparative experimental study 161(4):522\u2013543","journal-title":"Kernel-based fuzzy clustering and fuzzy clustering: a comparative experimental study"},{"issue":"4","key":"1007_CR8","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1109\/TPAMI.2005.78","volume":"27","author":"B Haasdonk","year":"2005","unstructured":"Haasdonk B (2005) Feature space interpretation of svms with indefinite kernels. IEEE Trans Pattern Anal Mach Intell 27(4):482","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1007_CR9","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.compenvurbsys.2015.10.009","volume":"55","author":"Z Izakian","year":"2016","unstructured":"Izakian Z, Mesgari MS, Abraham A (2016) Automated clustering of trajectory data using a particle swarm optimization. Comput Environ Urban Syst 55:55\u201365","journal-title":"Comput Environ Urban Syst"},{"key":"1007_CR10","volume-title":"A global averaging method for dynamic time warping, with applications to clustering","author":"A Ketterlin","year":"2011","unstructured":"Ketterlin A (2011) A global averaging method for dynamic time warping, with applications to clustering. Elsevier Science Inc, New York"},{"issue":"2","key":"1007_CR11","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1109\/72.914517","volume":"12","author":"KR Muller","year":"2001","unstructured":"Muller KR, Mika S (2001) An introduction to kernel-based learning algorithms. IEEE Trans Neural Netw 12(2):181\u2013201","journal-title":"IEEE Trans Neural Netw"},{"key":"1007_CR12","unstructured":"Li AZ, Tang S, Xue J, Jiang J (2001) Modified FCM clustering based on kernel mapping. In: Proceedings of SPIE, pp 241\u2013245"},{"issue":"11","key":"1007_CR13","doi-asserted-by":"publisher","first-page":"1857","DOI":"10.1016\/j.patcog.2005.01.025","volume":"38","author":"TW Liao","year":"2005","unstructured":"Liao TW (2005) Clustering of time series data\u2014a survey. Pattern Recogn 38(11):1857\u20131874","journal-title":"Pattern Recogn"},{"key":"1007_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2011.04.015","volume":"26","author":"V Niennattrakul","year":"2012","unstructured":"Niennattrakul V, Srisai D, Ratanamahatana CA (2012) Shape-based template matching for time series data. Knowl-Based Syst 26:1\u20138","journal-title":"Knowl-Based Syst"},{"key":"1007_CR15","first-page":"921","volume":"14","author":"HSK Noma","year":"2002","unstructured":"Noma HSK, Shimodaira K (2002) Dynamic time-alignment kernel in support vector machine. Adv Neural Inf Process Syst 14:921","journal-title":"Adv Neural Inf Process Syst"},{"key":"1007_CR16","unstructured":"Sakoe H, Chiba S (1971) A dynamic programming approach to continuous speech recognition. In: Proceedings of the 7th international congress on acoustics, pp 65\u201369"},{"issue":"1","key":"1007_CR17","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TASSP.1978.1163055","volume":"26","author":"H Sakoe","year":"1978","unstructured":"Sakoe H, Chiba S (1978) Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans Acoust Speech Signal Process 26(1):43\u201349","journal-title":"IEEE Trans Acoust Speech Signal Process"},{"key":"1007_CR18","doi-asserted-by":"crossref","unstructured":"Santarcangelo J, Zhang XP (2015) Dynamic time-alignment k-means kernel clustering for time sequence clustering. In: IEEE international conference on image processing, pp 2532\u20132536","DOI":"10.1109\/ICIP.2015.7351259"},{"key":"1007_CR19","first-page":"267","volume":"2017","author":"A Saxena","year":"2017","unstructured":"Saxena A, Prasad M, Gupta A, Bharill N, Patel OP, Tiwari A, Meng JE, Ding W, Lin CT (2017) A review of clustering techniques and developments. Neurocomputing 2017:267","journal-title":"Neurocomputing"},{"key":"1007_CR20","unstructured":"Shimodaira H, Noma KI, Nakai M, Sagayama S (2001) Dynamic time-alignment kernel in support vector machine. In: International conference on neural information processing systems: natural and synthetic, pp 921\u2013928"},{"key":"1007_CR21","unstructured":"Wang X, Ma KT, Ng GW, Grimson WEL (2008) Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. In: Computer vision and pattern recognition, 2008. CVPR 2008. IEEE conference on, pp 1\u20138"},{"issue":"3","key":"1007_CR22","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R Xu","year":"2005","unstructured":"Xu R, Ii DCW (2005) IEEE, survey of clustering algorithms. IEEE Trans Neural Netw 16(3):645\u2013678","journal-title":"IEEE Trans Neural Netw"},{"key":"1007_CR23","unstructured":"Yi BK, Jagadish H, Faloutsos C (1998) Efficient retrieval of similar time sequences under time warping. In: Data engineering, 1998. Proceedings of 14th international conference on, IEEE, pp 201\u2013208"},{"key":"1007_CR24","unstructured":"Zha H, He X, Ding C, Gu M, Simon HD (2001) Spectral relaxation for k-means clustering. In: Advances in neural information processing systems, pp 1057\u20131064"},{"key":"1007_CR25","unstructured":"Zhang DQ, Chen SC (2003) Fuzzy clustering using kernel method. In: International conference on control and automation, 2002. ICCA. Final program and book of, pp 162\u2013163"},{"issue":"3","key":"1007_CR26","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1109\/TPAMI.2012.137","volume":"35","author":"F Zhou","year":"2013","unstructured":"Zhou F, De la Torre F, Hodgins JK (2013) Hierarchical aligned cluster analysis for temporal clustering of human motion. Pattern Anal Mach Intell IEEE Trans 35(3):582\u2013596","journal-title":"Pattern Anal Mach Intell IEEE Trans"},{"key":"1007_CR27","first-page":"613","volume-title":"Lecture Notes in Computer Science","author":"Shangming Zhou","year":"2004","unstructured":"Zhou S, Gan JQ (2004) Mercer kernel, fuzzy c-means algorithm, and prototypes of clusters, vol 3177, pp 613\u2013618"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-01007-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-019-01007-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-01007-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T23:11:06Z","timestamp":1598397066000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-019-01007-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,27]]},"references-count":27,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["1007"],"URL":"https:\/\/doi.org\/10.1007\/s13042-019-01007-3","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,27]]},"assertion":[{"value":"30 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}