{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:03:57Z","timestamp":1743120237081,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319534794"},{"type":"electronic","value":"9783319534800"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-53480-0_3","type":"book-chapter","created":{"date-parts":[[2017,2,22]],"date-time":"2017-02-22T05:12:19Z","timestamp":1487740339000},"page":"25-34","source":"Crossref","is-referenced-by-count":1,"title":["Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning"],"prefix":"10.1007","author":[{"given":"Paulo Rogerio","family":"Nietto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"do Carmo Nicoletti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,2,23]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Asano, T., Bhattacharya, B., Keil, M., Yao, F.: Clustering algorithms based on minimum and maximum spanning trees. In: Proceedings. of the Fourth Annual Symposium on Computational Geometry (SCG 1988), pp. 252\u2013257 (1988)","DOI":"10.1145\/73393.73419"},{"key":"3_CR2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0020-0190(00)00142-3","volume":"76","author":"E Hartuv","year":"2000","unstructured":"Hartuv, E., Shamir, R.: A clustering algorithm based on graph connectivity. Inf. Process. Lett. 76, 175\u2013181 (2000)","journal-title":"Inf. Process. Lett."},{"key":"3_CR3","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1016\/j.patrec.2004.09.039","volume":"26","author":"N P\u00e4ivinen","year":"2005","unstructured":"P\u00e4ivinen, N.: Clustering with minimum spanning tree of scale-free structure. Pattern Recogn. 26, 921\u2013930 (2005)","journal-title":"Pattern Recogn."},{"key":"3_CR4","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Luxburg","year":"2007","unstructured":"Luxburg, U.: A tutorial on spectral clustering. J. Stat. Comput. 17, 395\u2013416 (2007)","journal-title":"J. Stat. Comput."},{"issue":"3","key":"3_CR5","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"AK Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. 31(3), 264\u2013323 (1999)","journal-title":"ACM Comput. Surv."},{"key":"3_CR6","volume-title":"Pattern Recognition","author":"S Theodorides","year":"2009","unstructured":"Theodorides, S., Kotroumbas, K.: Pattern Recognition, 4th edn. Elsevier, USA (2009)","edition":"4"},{"key":"3_CR7","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/3-540-28349-8_2","volume-title":"Grouping Multidimensional Data","author":"P Berkhin","year":"2006","unstructured":"Berkhin, P.: A survey of clustering data mining techniques. In: Kogan, J., Nicholas, C., Teboulle, M. (eds.) Grouping Multidimensional Data, pp. 25\u201371. Springer, Heidleberg (2006)"},{"key":"3_CR8","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R Xu","year":"2005","unstructured":"Xu, R., Wunsch, D.: Survey of clustering algorithms. IEEE Trans. Neural Netw. 16, 645\u2013678 (2005)","journal-title":"IEEE Trans. Neural Netw."},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Nicoletti, M.C., Real E.M., Oliveira, O.L.: The impact of refinement strategies on sequential clustering algorithms. In: Proceedings of the 13th International Conference on Intelligent Systems Design and Applications (ISDA 2013), pp. 47\u201352 (2013)","DOI":"10.1109\/ISDA.2013.6920706"},{"key":"3_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1504\/IJICA.2014.064214","volume":"6","author":"EM Real","year":"2014","unstructured":"Real, E.M., Nicoletti, M.C., Oliveira, O.L.: A closer look into sequential clustering algorithms and associated post-processing refinement strategies. Int. J. Innov. Comput. Appl. 6, 1\u201312 (2014)","journal-title":"Int. J. Innov. Comput. Appl."},{"key":"3_CR11","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/T-C.1971.223083","volume":"C-20","author":"CT Zahn","year":"1971","unstructured":"Zahn, C.T.: Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Trans. Comput. C-20, 68\u201386 (1971)","journal-title":"IEEE Trans. Comput."},{"key":"3_CR12","volume-title":"Readings in Perception","author":"M Wertheimer","year":"1958","unstructured":"Wertheimer, M.: Principles of perceptual organization. In: Beardsley, D., Wertheimer, M. (eds.) Readings in Perception. Van Nostrand, Princeton (1958)"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, Z., Xiong, H., Gao X., Wu, J.: Understanding of internal clustering validation measures. In: Proceedings of the 10th International IEEE Conference on Data Mining (ICMD), pp. 911\u2013916 (2010)","DOI":"10.1109\/ICDM.2010.35"},{"key":"3_CR14","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-32451-2","volume-title":"Unsupervised Classification","author":"S Bandyopadhyay","year":"2013","unstructured":"Bandyopadhyay, S., Saha, S.: Unsupervised Classification. Springer, Heidelberg (2013)"},{"key":"3_CR15","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1109\/TPAMI.2002.1033218","volume":"24","author":"CJ Veenman","year":"2002","unstructured":"Veenman, C.J., Reinders, M.J.T., Backer, E.: A maximum variance cluster algorithm. IEEE Trans. Pattern Anal. Mach. Learn. 24, 1273\u20131280 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Learn."}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-53480-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T07:06:49Z","timestamp":1498374409000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-53480-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319534794","9783319534800"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-53480-0_3","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017]]}}}