{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T17:39:31Z","timestamp":1775583571530,"version":"3.50.1"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319754284","type":"print"},{"value":"9783319754291","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-75429-1_7","type":"book-chapter","created":{"date-parts":[[2018,2,3]],"date-time":"2018-02-03T10:33:11Z","timestamp":1517653991000},"page":"75-86","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms"],"prefix":"10.1007","author":[{"given":"Sadaaki","family":"Miyamoto","sequence":"first","affiliation":[]},{"given":"Van-Nam","family":"Huynh","sequence":"additional","affiliation":[]},{"given":"Shuhei","family":"Fujiwara","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,4]]},"reference":[{"key":"7_CR1","volume-title":"Cluster Analysis for Applications","author":"MR Anderberg","year":"1973","unstructured":"Anderberg, M.R.: Cluster Analysis for Applications. Academic Press, New York (1973)"},{"key":"7_CR2","unstructured":"Arthur, D., Vassilvitskii, S.: k-means++: The advantages of careful seeding. In: Proceedings of SODA 2007, pp. 1027\u20131035 (2007)"},{"key":"7_CR3","unstructured":"Bezdek, J.C.: Fuzzy Mathematics in Pattern Classification, Ph.D. Thesis, Cornell University, Ithaca, NY (1973)"},{"key":"7_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algorithms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Kluwer, Norwell (1981)"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. P10008 (2008)","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1016\/0167-8655(91)90002-4","volume":"12","author":"RN Dav\u00e9","year":"1991","unstructured":"Dav\u00e9, R.N.: Characterization and detection of noise in clustering. Pattern Recogn. Lett. 12, 657\u2013664 (1991)","journal-title":"Pattern Recogn. Lett."},{"issue":"2","key":"7_CR7","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1109\/91.580801","volume":"5","author":"RN Dav\u00e9","year":"1997","unstructured":"Dav\u00e9, R.N., Krishnapuram, R.: Robust clustering methods: a unified view. IEEE Trans. Fuzzy Syst. 5(2), 270\u2013293 (1997)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"7_CR8","first-page":"32","volume":"3","author":"JC Dunn","year":"1973","unstructured":"Dunn, J.C.: A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Cybern. Syst. 3, 32\u201357 (1973)","journal-title":"Cybern. Syst."},{"key":"7_CR9","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD 1996, pp. 226\u2013231 (1996)"},{"key":"7_CR10","volume-title":"Cluster Analysis","author":"BS Everitt","year":"1993","unstructured":"Everitt, B.S.: Cluster Analysis, 3rd edn. Arnold, London (1993)","edition":"3"},{"key":"7_CR11","unstructured":"Fujiwara, S.: Hierarchical Clustering for Directed Network Data, Master\u2019s thesis. University of Tsukuba, Master\u2019s Program in Risk Engineering (2017). (in Japanese)"},{"issue":"6","key":"7_CR12","doi-asserted-by":"publisher","first-page":"717","DOI":"10.20965\/jaciii.2015.p0717","volume":"19","author":"K Honda","year":"2015","unstructured":"Honda, K., Oshio, S., Notsu, A.: Fuzzy co-clustering induced by multinomial mixture model. J. Adv. Comput. Intell. Intell. Inform. 19(6), 717\u2013726 (2015)","journal-title":"J. Adv. Comput. Intell. Intell. Inform."},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Kaizu, Y., Miyamoto, S., Endo, Y.: Hard fuzzy C-Medoids for asymmetric networks. In: Proceedings of 16th World Congress of the International Fuzzy Systems Association (IFSA 2015), 30 June\u2013July 3, Gijon, Spain, pp. 435\u2013440 (2015)","DOI":"10.2991\/ifsa-eusflat-15.2015.63"},{"key":"7_CR14","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"L Kaufman","year":"1990","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (1990)"},{"key":"7_CR15","unstructured":"MacQueen, J.B.: Some methods of classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1 (University of California Press 1967), pp. 281\u2013297 (1967)"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Miyahara, S., Miyamoto, S.: A family of algorithms using spectral clustering and DBSCAN. In: Proceedings of 2014 IEEE International Conference on Granular Computing (GrC 2014), Noboribetsu, Hokkaido, Japan, pp. 196\u2013200, 22\u201324 October 2014","DOI":"10.1109\/GRC.2014.6982834"},{"issue":"4","key":"7_CR17","first-page":"421","volume":"24","author":"S Miyamoto","year":"1993","unstructured":"Miyamoto, S., Agusta, Y.: An efficient algorithm for $$\\ell _1$$ fuzzy $$c$$-means and its termination. Control Cybern. 24(4), 421\u2013436 (1993)","journal-title":"Control Cybern."},{"key":"7_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-7887-5","volume-title":"Fuzzy Sets in Information Retrieval and Cluster Analysis","author":"S Miyamoto","year":"1990","unstructured":"Miyamoto, S.: Fuzzy Sets in Information Retrieval and Cluster Analysis. Springer, Heidelberg (1990)"},{"key":"7_CR19","volume-title":"Algorithms for Fuzzy Clustering","author":"S Miyamoto","year":"2008","unstructured":"Miyamoto, S., Ichihashi, H., Honda, K.: Algorithms for Fuzzy Clustering. Springer, Heidelberg (2008)"},{"issue":"2","key":"7_CR20","doi-asserted-by":"publisher","first-page":"026113","DOI":"10.1103\/PhysRevE.69.026113","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69(2), 026113 (2004)","journal-title":"Phys. Rev. E"},{"key":"7_CR21","doi-asserted-by":"publisher","first-page":"066133","DOI":"10.1103\/PhysRevE.69.066133","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman, M.E.J.: Fast algorithm for detecting community structure in networks. Phys. Rev. E 69, 066133 (2004)","journal-title":"Phys. Rev. E"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Tamura, Y., Miyamoto, S.: A method of two stage clustering using agglomerative hierarchical algorithms with one-Pass k-Means++ or k-Median++. In: Proceedings of 2014 IEEE International Conference on Granular Computing (GrC2014), Noboribetsu, Hokkaido, Japan, pp. 281\u2013285, 22\u201324 October 2014","DOI":"10.1109\/GRC.2014.6982850"}],"container-title":["Lecture Notes in Computer Science","Integrated Uncertainty in Knowledge Modelling and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75429-1_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T14:20:55Z","timestamp":1751293255000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-75429-1_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319754284","9783319754291"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75429-1_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"4 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IUKM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 March 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 March 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iukm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.jaist.ac.jp\/IUKM\/IUKM2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}