{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T16:58:43Z","timestamp":1780505923008,"version":"3.54.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,2,23]],"date-time":"2012-02-23T00:00:00Z","timestamp":1329955200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2013,2]]},"DOI":"10.1007\/s13042-012-0077-9","type":"journal-article","created":{"date-parts":[[2012,2,22]],"date-time":"2012-02-22T06:53:19Z","timestamp":1329893599000},"page":"75-83","source":"Crossref","is-referenced-by-count":12,"title":["Spectral co-clustering documents and words using fuzzy K-harmonic means"],"prefix":"10.1007","volume":"4","author":[{"given":"Na","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2012,2,23]]},"reference":[{"issue":"4","key":"77_CR1","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"UV Luxburg","year":"2007","unstructured":"Luxburg UV (2007) A tutorial on spectral clustering. Stat Comput 17(4):395\u2013416","journal-title":"Stat Comput"},{"key":"77_CR2","unstructured":"Ng AY, Jordan MI, Weiss Y(2002) On spectral clustering: analysis and an algorithm. In: Proceedings of the conference on advances in neural information processing systems. Mas-sachusetts, pp 849\u2013856"},{"issue":"1","key":"77_CR3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s11432-007-0007-8","volume":"50","author":"Z Tian","year":"2007","unstructured":"Tian Z, Li XB, Ju YW (2007) Spectral clustering based on matrix perturbation theory. Sci China Ser F Inf Sci 50(1):63\u201381","journal-title":"Sci China Ser F Inf Sci"},{"key":"77_CR4","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1147\/rd.175.0420","volume":"17","author":"WE Donath","year":"1973","unstructured":"Donath WE, Hoffman AJ (1973) Lower bound for the partitioning of graphs. IBM J Res Dev 17:420\u2013425","journal-title":"IBM J Res Dev"},{"issue":"2","key":"77_CR5","doi-asserted-by":"crossref","first-page":"298","DOI":"10.21136\/CMJ.1973.101168","volume":"23","author":"M Fiedler","year":"1973","unstructured":"Fiedler M (1973) Algebraic connectivity of graphs. Czechoslovak Math J 23(2):298\u2013305","journal-title":"Czechoslovak Math J"},{"issue":"8","key":"77_CR6","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"77_CR7","unstructured":"Ng AY, Jordan ML, Weiss Y (2001) On spectral clustering: analysis and an algorithm. In: Advances in neural information processing systems, vol 14, pp 849\u2013856"},{"key":"77_CR8","doi-asserted-by":"crossref","unstructured":"Prieto R, Jiang J, Choi CH (2003) A new spectral clustering algorithm for large training sets. In: International conference on machine learning and cybernetics, China, pp 147\u2013152","DOI":"10.1109\/ICMLC.2003.1264460"},{"key":"77_CR9","unstructured":"Fern XZ, Brodley CE (2004) Solving cluster ensemble problems by bipartite graph partitioning. In: Proceedings of international conference on machine learning, vol 21, New York, pp 36\u201344"},{"key":"77_CR10","doi-asserted-by":"crossref","unstructured":"Sanguinetti G, Laidler J, Lawrence N (2005) Automatic Determination of the number of clusters using spectral algorithms. In: Proceedings of IEEE machine learning for signal processing, USA, pp 28\u201330","DOI":"10.1109\/MLSP.2005.1532874"},{"issue":"2","key":"77_CR11","first-page":"217","volume":"26","author":"C Fowlkes","year":"2007","unstructured":"Fowlkes C, Belongie S, Chung F (2007) Spectral grouping using the Nystrom method. IEEE Trans Pattern Anal Mach Intell 26(2):217\u2013225","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"77_CR12","doi-asserted-by":"crossref","unstructured":"Xu S, Lu ZM, Gu GC (2009) Two spectral algorithms for ensembling document clusters. Acta Autom Sin 35(7):997\u20131002","DOI":"10.3724\/SP.J.1004.2009.00997"},{"key":"77_CR13","doi-asserted-by":"crossref","unstructured":"Yeung DS, Wang X (2002) Improving performance of similarity-based clustering by feature weight learning. IEEE Trans Pattern Anal Mach Intell 24(4):556\u2013561","DOI":"10.1109\/34.993562"},{"key":"77_CR14","doi-asserted-by":"crossref","unstructured":"Wang XZ, Wang YD, Wang LJ (2004) Improving fuzzy c-means clustering based on feature-weight learning. Pattern Recognit Lett 25(10):1123\u20131132","DOI":"10.1016\/j.patrec.2004.03.008"},{"key":"77_CR15","doi-asserted-by":"crossref","unstructured":"Wang XZ, Dong CR, Fan TG (2007) Training T-S Norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70(13\u201315):2581\u20132587","DOI":"10.1016\/j.neucom.2007.01.005"},{"key":"77_CR16","doi-asserted-by":"crossref","unstructured":"Xing HJ, Hu BG (2008) An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification. Neurocomputing 71(4\u20136):1008\u20131021","DOI":"10.1016\/j.neucom.2007.02.010"},{"key":"77_CR17","doi-asserted-by":"crossref","unstructured":"Wang XZ, Dong CR (2009) Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3):556\u2013567","DOI":"10.1109\/TFUZZ.2008.924342"},{"key":"77_CR18","doi-asserted-by":"crossref","unstructured":"Liang J, Song W Clustering based on Steiner points. Int J Mach Learn Cyber. doi: 10.1007\/s13042-011-0047-7","DOI":"10.1007\/s13042-011-0047-7"},{"key":"77_CR19","doi-asserted-by":"crossref","unstructured":"Graaff AJ, Engelbrecht AP Clustering data in stationary environments with a local network neighborhood artificial immune system. Int J Mach Learn Cyber. doi: 10.1007\/s13042-011-0041-0","DOI":"10.1007\/s13042-011-0041-0"},{"key":"77_CR20","doi-asserted-by":"crossref","unstructured":"Guo G, Chen S, Chen L Soft subspace clustering with an improved feature weight self-adjustment mechanism. Int J Mach Learn Cyber. doi: 10.1007\/s13042-011-0038-8","DOI":"10.1007\/s13042-011-0038-8"},{"key":"77_CR21","doi-asserted-by":"crossref","unstructured":"Wang XZ, He YL, Dong LC, Zhao HY (2011) Particle swarm optimization for determining fuzzy measures from data. Inf Sci 181(19):4230\u20134252","DOI":"10.1016\/j.ins.2011.06.002"},{"key":"77_CR22","doi-asserted-by":"crossref","unstructured":"Kluger Y, Basri R, Chang JT, Gerstein M (2003) Spectral biclustering of microarray data: coclustering genes and conditions. Genome Res 13(4):703\u2013716","DOI":"10.1101\/gr.648603"},{"key":"77_CR23","doi-asserted-by":"crossref","unstructured":"Guan J, Qiu G (2005) Spectral images and features co-clustering with application to content-based image retrieval. In: 7th IEEE workshop on multimedia signal processing, Shanghai, pp 1\u20134","DOI":"10.1109\/MMSP.2005.248647"},{"key":"77_CR24","doi-asserted-by":"crossref","unstructured":"Wieling M, Nerbonne J (2009) Bipartite spectral graph partitioning to co-cluster varieties and sound correspondences in dialectology. In: Proceedings of the 2009 workshop on graph-based methods for natural language processing, Singapore, pp 14\u201322","DOI":"10.3115\/1708124.1708129"},{"key":"77_CR25","doi-asserted-by":"crossref","unstructured":"Xu G, Zong Y, Dolog P, Zhang Y (2010) Co-clustering analysis of weblogs using bipartite spectral projection approach. In: Proceedings of 14th KES, Cardiff, pp 398\u2013407","DOI":"10.1007\/978-3-642-15393-8_45"},{"key":"77_CR26","doi-asserted-by":"crossref","unstructured":"Green NS (2010) Evolutionary spectral co-clustering. Dissertation, Rochester Institute of Technology","DOI":"10.1109\/IJCNN.2011.6033342"},{"key":"77_CR27","doi-asserted-by":"crossref","unstructured":"Dhillon I (2001) Co-clustering documents and words using bipartite spectral graph partitioning. In: Proceedings of the seventh ACM SIGKDD international conference on knowledge discovery and data mining, San Francisco, pp 269\u2013274","DOI":"10.1145\/502512.502550"},{"key":"77_CR28","unstructured":"Zhang B, Hsu M, Dayal U (1999) K-harmonic means-a data clustering algorithm. http:\/\/www.hpl.hp.com\/techreports\/1999\/HPL-1999-124.pdf"},{"key":"77_CR29","unstructured":"Zhang B (2000) Generalized K-harmonic means-boosting in unsupervised learning. http:\/\/www.hpl.hp.com\/techreports\/2000\/HPL-2000-137.html"},{"key":"77_CR30","first-page":"583","volume":"3","author":"A Strehl","year":"2002","unstructured":"Strehl A, Ghosh J (2002) Cluster ensembles-a knowledge reuse framework for combining partitionings. J Mach Learn Res 3:583\u2013617","journal-title":"J Mach Learn Res"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-012-0077-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-012-0077-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-012-0077-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T08:51:42Z","timestamp":1640854302000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-012-0077-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,2,23]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,2]]}},"alternative-id":["77"],"URL":"https:\/\/doi.org\/10.1007\/s13042-012-0077-9","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,2,23]]}}}