{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T22:28:23Z","timestamp":1787869703729,"version":"build-2784847793"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,3,28]],"date-time":"2014-03-28T00:00:00Z","timestamp":1395964800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2015,3]]},"DOI":"10.1007\/s11634-014-0169-3","type":"journal-article","created":{"date-parts":[[2014,3,27]],"date-time":"2014-03-27T15:28:09Z","timestamp":1395934089000},"page":"21-40","source":"Crossref","is-referenced-by-count":41,"title":["Trimmed fuzzy clustering for interval-valued data"],"prefix":"10.1007","volume":"9","author":[{"given":"Pierpaolo","family":"D\u2019Urso","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Livia","family":"De Giovanni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riccardo","family":"Massari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2014,3,28]]},"reference":[{"issue":"5","key":"169_CR1","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1109\/TFUZZ.2010.2052258","volume":"18","author":"DT Anderson","year":"2010","unstructured":"Anderson DT, Bezdek JC, Popescu M, Keller JM (2010) Comparing fuzzy, probabilistic, and possibilistic partitions. IEEE Trans Fuzzy Syst 18(5):906\u2013918","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"169_CR2","doi-asserted-by":"crossref","DOI":"10.1002\/9780470090183","volume-title":"Symbolic data analysis: conceptual statistics and data mining","author":"L Billard","year":"2006","unstructured":"Billard L, Diday E (2006) Symbolic data analysis: conceptual statistics and data mining. Wiley, England"},{"issue":"3","key":"169_CR3","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1002\/dir.20082","volume":"21","author":"J Brown","year":"2007","unstructured":"Brown J, Broderick AJ, Lee N (2007) Word of mouth communication within online communities: conceptualizing the online social network. J Interact Mark 21(3):2\u201320","journal-title":"J Interact Mark"},{"issue":"7","key":"169_CR4","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.patrec.2006.11.010","volume":"28","author":"RJGB Campello","year":"2007","unstructured":"Campello RJGB (2007) A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment. Pattern Recognit Lett 28(7):833\u2013841","journal-title":"Pattern Recognit Lett"},{"issue":"21","key":"169_CR5","doi-asserted-by":"crossref","first-page":"2858","DOI":"10.1016\/j.fss.2006.07.006","volume":"157","author":"RJGB Campello","year":"2006","unstructured":"Campello RJGB, Hruschka ER (2006) A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets Syst 157(21):2858\u20132875","journal-title":"Fuzzy Sets Syst"},{"issue":"4","key":"169_CR6","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.patrec.2006.08.014","volume":"28","author":"FdAT Carvalho de","year":"2007","unstructured":"de Carvalho FdAT (2007) Fuzzy $$c$$ c -means clustering methods for symbolic interval data. Pattern Recognit Lett 28(4):423\u2013437","journal-title":"Pattern Recognit Lett"},{"issue":"23","key":"169_CR7","doi-asserted-by":"crossref","first-page":"2978","DOI":"10.1016\/j.fss.2010.08.003","volume":"161","author":"FdAT Carvalho de","year":"2010","unstructured":"de Carvalho FdAT, Ten\u00f3rio CP (2010) Fuzzy $$k$$ k -means clustering algorithms for interval-valued data based on adaptive quadratic distances. Fuzzy Sets Syst 161(23):2978\u20132999","journal-title":"Fuzzy Sets Syst"},{"issue":"11","key":"169_CR8","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1016\/j.patrec.2009.04.009","volume":"30","author":"FdAT Carvalho de","year":"2009","unstructured":"de Carvalho FdAT, Csernel M, Lechevallier Y (2009) Clustering constrained symbolic data. Pattern Recognit Lett 30(11):1037\u20131045","journal-title":"Pattern Recognit Lett"},{"issue":"3","key":"169_CR9","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.patrec.2003.10.016","volume":"25","author":"RMCR Souza de","year":"2004","unstructured":"de Souza RMCR, de Carvalho FdAT (2004) Clustering of interval data based on city-block distances. Pattern Recognit Lett 25(3):353\u2013365","journal-title":"Pattern Recognit Lett"},{"issue":"3","key":"169_CR10","first-page":"5","volume":"45","author":"P Cazes","year":"1997","unstructured":"Cazes P, Chouakria A, Diday E, Schektrman Y (1997) Entension de l\u2019analyse en composantes principales \u00e0 des donn\u00e9es de type intervalle. Revue Stat Appl 45(3):5\u201324","journal-title":"Revue Stat Appl"},{"issue":"4","key":"169_CR11","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.csda.2010.09.013","volume":"56","author":"R Coppi","year":"2012","unstructured":"Coppi R, D\u2019Urso P, Giordani P (2012) Fuzzy and possibilistic clustering for fuzzy data. Comput Stat Data Anal 56(4):915\u2013927","journal-title":"Comput Stat Data Anal"},{"issue":"5","key":"169_CR12","doi-asserted-by":"crossref","first-page":"3877","DOI":"10.1016\/j.asoc.2011.01.006","volume":"11","author":"P D\u2019Urso","year":"2011","unstructured":"D\u2019Urso P, De Giovanni L (2011) Midpoint radius self-organizing maps for interval-valued data with telecommunications application. Appl Soft Comput 11(5):3877\u20133886","journal-title":"Appl Soft Comput"},{"issue":"2","key":"169_CR13","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.chemolab.2003.11.005","volume":"70","author":"P D\u2019Urso","year":"2004","unstructured":"D\u2019Urso P, Giordani P (2004) A least squares approach to principal component analysis for interval valued data. Chemom Intell Lab Syst 70(2):179\u2013192","journal-title":"Chemom Intell Lab Syst"},{"issue":"6","key":"169_CR14","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.1016\/j.csda.2004.12.002","volume":"50","author":"P D\u2019Urso","year":"2006","unstructured":"D\u2019Urso P, Giordani P (2006a) A weighted fuzzy $$c$$ c -means clustering model for fuzzy data. Comput Stat Data Anal 50(6):1496\u20131523","journal-title":"Comput Stat Data Anal"},{"issue":"2","key":"169_CR15","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s00180-006-0262-y","volume":"21","author":"P D\u2019Urso","year":"2006","unstructured":"D\u2019Urso P, Giordani P (2006b) A robust fuzzy k-means clustering model for interval valued data. Comput Stat 21(2):251\u2013269","journal-title":"Comput Stat"},{"issue":"16","key":"169_CR16","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.fss.2013.09.011","volume":"237","author":"P D\u2019Urso","year":"2014","unstructured":"D\u2019Urso P, De Giovanni L, Massari R (2014) Self-organizing maps for imprecise data. Fuzzy Sets Syst 237(16):63\u201389","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"169_CR17","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1109\/91.669013","volume":"6","author":"Y El-Sonbaty","year":"1998","unstructured":"El-Sonbaty Y, Ismail MA (1998) Fuzzy clustering for symbolic data. IEEE Trans Fuzzy Syst 6(2):195\u2013204","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"169_CR18","volume-title":"Cluster analysis","author":"BS Everitt","year":"2001","unstructured":"Everitt BS, Landau S, Leese M (2001) Cluster analysis, 4th edn. Arnold Press, London","edition":"4"},{"key":"169_CR19","doi-asserted-by":"crossref","unstructured":"Fu KS (1977) Syntactic pattern recognition, applications. Springer, New York","DOI":"10.1007\/978-3-642-66438-0"},{"issue":"447","key":"169_CR20","first-page":"956","volume":"94","author":"LA Garc\u00eda-Escudero","year":"1999","unstructured":"Garc\u00eda-Escudero LA, Gordaliza A (1999) Robustness properties of k-means and trimmed k-means. J Am Stat Assoc 94(447):956\u2013969","journal-title":"J Am Stat Assoc"},{"issue":"2","key":"169_CR21","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/s00357-005-0013-8","volume":"22","author":"LA Garc\u00eda-Escudero","year":"2005","unstructured":"Garc\u00eda-Escudero LA, Gordaliza A (2005) A proposal for robust curve clustering. J Classif 22(2):185\u2013201","journal-title":"J Classif"},{"issue":"2","key":"169_CR22","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s11634-010-0064-5","volume":"4","author":"LA Garc\u00eda-Escudero","year":"2010","unstructured":"Garc\u00eda-Escudero LA, Gordaliza A, Matr\u00e1n C, Mayo-Iscar A (2010) A review of robust clustering methods. Adv Data Anal Classif 4(2):89\u2013109","journal-title":"Adv Data Anal Classif"},{"issue":"6","key":"169_CR23","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/0167-8655(95)80010-Q","volume":"16","author":"K Gowda","year":"1995","unstructured":"Gowda K, Ravi T (1995) Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity. Pattern Recognit Lett 16(6):647\u2013652","journal-title":"Pattern Recognit Lett"},{"issue":"10","key":"169_CR24","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1016\/j.patrec.2004.03.016","volume":"25","author":"DS Guru","year":"2004","unstructured":"Guru DS, Kiranagi BB, Nagabhushan P (2004) Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns. Pattern Recognit Lett 25(10):1203\u20131213","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"169_CR25","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/BF02294781","volume":"62","author":"WJ Heiser","year":"1997","unstructured":"Heiser WJ, Groenen PJF (1997) Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima. Psychometrika 62(1):63\u201383","journal-title":"Psychometrika"},{"issue":"4","key":"169_CR26","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1109\/21.286391","volume":"24","author":"M Ichino","year":"1994","unstructured":"Ichino M, Yaguchi H (1994) Generalized Minkowski metrics for mixed feature-type data analysis. IEEE Trans Syst Man Cybern 24(4):698\u2013708","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"3","key":"169_CR27","first-page":"227","volume":"12","author":"JT Jeng","year":"2010","unstructured":"Jeng JT, Chuang CC, Tseng CC, Juan CJ (2010) Robust interval competitive agglomeration clustering algorithm with outliers. Int J Fuzzy Syst 12(3):227\u2013236","journal-title":"Int J Fuzzy Syst"},{"key":"169_CR28","unstructured":"Kamdar T, Joshi A (2000) On creating adaptive Web servers using Weblog Mining. Technical Report TR-CS-00-05, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County"},{"issue":"3","key":"169_CR29","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1509\/jmkr.48.3.425","volume":"48","author":"Z Katona","year":"2011","unstructured":"Katona Z, Zubcsek PP, Sarvary M (2011) Network effects and personal influences: the diffusion of an online social network. J Mark Res 48(3):425\u2013443","journal-title":"J Mark Res"},{"key":"169_CR30","first-page":"405","volume-title":"Statistical data analysis based on the L1-norm and related methods","author":"L Kaufman","year":"1987","unstructured":"Kaufman L, Rousseeuw PJ (1987) Clustering by means of medoids. In: Dodge Y (ed) Statistical data analysis based on the L1-norm and related methods. North-Holland, Amsterdam, pp 405\u2013416"},{"key":"169_CR31","doi-asserted-by":"crossref","unstructured":"Kaufman L, Rousseeuw PJ (1990) Finding groups in data: an introduction to cluster analysis. Wiley, New York","DOI":"10.1002\/9780470316801"},{"issue":"6","key":"169_CR32","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/0167-8655(96)00028-1","volume":"17","author":"J Kim","year":"1996","unstructured":"Kim J, Krishnapuram R, Dav\u00e9 R (1996) Application of the least trimmed squares technique to prototype-based clustering. Pattern Recognit Lett 17(6):633\u2013641","journal-title":"Pattern Recognit Lett"},{"key":"169_CR33","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-88163-3","volume-title":"Self-organization and associative memory","author":"T Kohonen","year":"1989","unstructured":"Kohonen T (1989) Self-organization and associative memory, 3rd edn. Springer, New York","edition":"3"},{"key":"169_CR34","doi-asserted-by":"crossref","unstructured":"Krishnapuram R, Joshi A, Yi L (1999) A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering. In: IEEE international fuzzy systems conference (FUZZIEEE99), vol\u00a03, IEEE, Seoul, pp 1281\u20131286","DOI":"10.1109\/FUZZY.1999.790086"},{"issue":"4","key":"169_CR35","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1109\/91.940971","volume":"9","author":"R Krishnapuram","year":"2001","unstructured":"Krishnapuram R, Joshi A, Nasraoui O, Yi L (2001) Low-complexity fuzzy relational clustering algorithms for web mining. IEEE Trans Fuzzy Syst 9(4):595\u2013607","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"169_CR36","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.patrec.2003.09.008","volume":"25","author":"MH Masson","year":"2004","unstructured":"Masson MH, Den\u0153ux T (2004) Clustering interval-valued proximity data using belief functions. Pattern Recognit Lett 25(2):163\u2013171","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"169_CR37","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/0168-1923(85)90082-6","volume":"35","author":"AB McBratney","year":"1985","unstructured":"McBratney AB, Moore AW (1985) Application of fuzzy sets to climatic classification. Agric For Meteorol 35(1):165\u2013185","journal-title":"Agric For Meteorol"},{"issue":"3","key":"169_CR38","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1108\/17505930910985116","volume":"3","author":"A Palmer","year":"2009","unstructured":"Palmer A, Koenig-Lewis N (2009) An experiential, social network-based approach to direct marketing. Direct Mark Int J 3(3):162\u2013176","journal-title":"Direct Mark Int J"},{"key":"169_CR39","volume-title":"Socialnomics: How social media transforms the way we live and do business","author":"E Qualman","year":"2012","unstructured":"Qualman E (2012) Socialnomics: How social media transforms the way we live and do business. Wiley, New Jersey"},{"issue":"4","key":"169_CR40","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1109\/91.784198","volume":"7","author":"T Runkler","year":"1999","unstructured":"Runkler T, Bezdek J (1999) Alternating cluster estimation: a new tool for clustering and function approximation. IEEE Trans Fuzzy Syst 7(4):377\u2013393","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"326","key":"169_CR41","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1080\/01621459.1969.10500990","volume":"64","author":"HD Vinod","year":"1969","unstructured":"Vinod HD (1969) Integer programming and the theory of grouping. J Am Stat Assoc 64(326):506\u2013519","journal-title":"J Am Stat Assoc"},{"key":"169_CR42","unstructured":"Webb Young J, Burgoyne B (2009) You\u2019ve got a friend: measuring the value of brand friending on social networks. In: Market research study annual conference, Market Research Study"},{"key":"169_CR43","volume-title":"Market segmentation: conceptual and methodological foundations","author":"M Wedel","year":"1998","unstructured":"Wedel M, Kamakura WA (1998) Market segmentation: conceptual and methodological foundations. Kluwer Academic, Boston"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-014-0169-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11634-014-0169-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-014-0169-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T00:08:52Z","timestamp":1565309332000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11634-014-0169-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,28]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,3]]}},"alternative-id":["169"],"URL":"https:\/\/doi.org\/10.1007\/s11634-014-0169-3","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3,28]]}}}