{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:52:36Z","timestamp":1742935956659,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031114311"},{"type":"electronic","value":"9783031114328"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T00:00:00Z","timestamp":1658880000000},"content-version":"vor","delay-in-days":207,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We analyze two approaches to clustering 2D shapes representing cross-sections of rotationally symmetrical objects. These approaches are based on two ways of shape representation - contours and silhouettes - and a number of similarity measures which are based on a combination of Procrustes analysis (PA) and Dynamic Time Warping (DTW) as well as on binary matrix analysis. The comparison of efficiency of the proposed approaches is performed on datasets of archaeological ceramic vessels.<\/jats:p>","DOI":"10.1007\/978-3-031-11432-8_13","type":"book-chapter","created":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T13:18:01Z","timestamp":1658927881000},"page":"131-141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On Two Approaches to\u00a0Clustering of\u00a0Cross-Sections of\u00a0Rotationally Symmetric Objects"],"prefix":"10.1007","author":[{"given":"Paulina","family":"Baczy\u0144ska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agnieszka","family":"Kaliszewska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Monika","family":"Syga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"13_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/11841036_8","volume-title":"Algorithms \u2013 ESA 2006","author":"B Aronov","year":"2006","unstructured":"Aronov, B., Har-Peled, S., Knauer, C., Wang, Y., Wenk, C.: Fr\u00e9chet distance for curves, revisited. In: Azar, Y., Erlebach, T. (eds.) ESA 2006. LNCS, vol. 4168, pp. 52\u201363. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11841036_8"},{"issue":"3","key":"13_CR2","doi-asserted-by":"publisher","first-page":"695","DOI":"10.4238\/vol7-3gmr458","volume":"7","author":"M Balestre","year":"2008","unstructured":"Balestre, M., Von Pinho, R., Souza, J., Lima, J.: Comparison of maize similarity and dissimilarity genetic coefficients based on microsatellite markers. Genet. Mol. Res. 7(3), 695\u2013705 (2008)","journal-title":"Genet. Mol. Res."},{"key":"13_CR3","unstructured":"Choi, S.S.S.: Correlation analysis of binary similarity and dissimilarity measures (2008)"},{"issue":"3","key":"13_CR4","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s10851-006-0647-0","volume":"27","author":"A Efrat","year":"2007","unstructured":"Efrat, A., Fan, Q., Venkatasubramanian, S.: Curve matching, time warping, and light fields: new algorithms for computing similarity between curves. J. Math. Imaging Vision 27(3), 203\u2013216 (2007)","journal-title":"J. Math. Imaging Vision"},{"key":"13_CR5","unstructured":"Eguizabal, A., Schreier, P.J., Schmidt, J.: Procrustes registration of two-dimensional statistical shape models without correspondences. CoRR abs\/1911.11431 (2019)"},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Farias, F.C., Bernarda Ludermir, T., Bastos-Filho Ecomp, C.J.A., Rosendo da Silva Oliveira, F.: Analyzing the impact of data representations in classification problems using clustering. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136 (2019). https:\/\/doi.org\/10.1109\/IJCNN.2019.8851856","DOI":"10.1109\/IJCNN.2019.8851856"},{"key":"13_CR7","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"2007","unstructured":"Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315, 2007 (2007)","journal-title":"Science"},{"issue":"6","key":"13_CR8","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1016\/j.jas.2003.10.013","volume":"31","author":"A Gilboa","year":"2004","unstructured":"Gilboa, A., Karasik, A., Sharon, I., Smilansky, U.: Towards computerized typology and classification of ceramics. J. Archaeol. Sci. 31(6), 681\u2013694 (2004)","journal-title":"J. Archaeol. Sci."},{"issue":"2","key":"13_CR9","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1111\/j.2517-6161.1991.tb01825.x","volume":"53","author":"C Goodall","year":"1991","unstructured":"Goodall, C.: Procrustes methods in the statistical analysis of shape. J. R. Statist. Soc. Ser. B (Methodol.) 53(2), 285\u2013339 (1991)","journal-title":"J. R. Statist. Soc. Ser. B (Methodol.)"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Hosni, N., Drira, H., Chaieb, F., Amor, B.B.: 3D gait recognition based on functional PCA on Kendall\u2019s shape space. In: 2018 24th International Conference on Pattern Recognition (ICPR), pp. 2130\u20132135 (2018)","DOI":"10.1109\/ICPR.2018.8545040"},{"issue":"2","key":"13_CR11","first-page":"82","volume":"13","author":"V Hristov","year":"2013","unstructured":"Hristov, V., Agre, G.: A software system for classification of archaeological artefacts represented by 2D plans. Cybern. Inf. Technol. 13(2), 82\u201396 (2013)","journal-title":"Cybern. Inf. Technol."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Kaliszewska, A., Syga, M.: A comprehensive study of clustering a class of 2D shapes. arXiv: 2111.06662 (2021)","DOI":"10.34768\/amcs-2022-0008"},{"issue":"3","key":"13_CR13","doi-asserted-by":"publisher","first-page":"545","DOI":"10.2478\/amcs-2018-0042","volume":"28","author":"JM Leski","year":"2018","unstructured":"Leski, J.M., Kotas, M.P.: Linguistically defined clustering of data. Int. J. Appl. Math. Comput. Sci. 28(3), 545\u2013557 (2018)","journal-title":"Int. J. Appl. Math. Comput. Sci."},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Mumford, D.: Mathematical theories of shape: do they model perception? In: Proceedings of Conference 1570, Society of Photo-Optical & Instrumentation Engineers (SPIE), pp. 2\u201310 (1991)","DOI":"10.1117\/12.49981"},{"key":"13_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3","volume-title":"Information Retrieval for Music and Motion","author":"M M\u00fcller","year":"2007","unstructured":"M\u00fcller, M.: Information Retrieval for Music and Motion. Springer Science, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-74048-3"},{"key":"13_CR16","series-title":"Studies Computational Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-13389-4","volume-title":"Data Analysis in Bi-partial Perspective: Clustering and Beyond","author":"JW Owsi\u0144ski","year":"2020","unstructured":"Owsi\u0144ski, J.W.: Data Analysis in Bi-partial Perspective: Clustering and Beyond. Studies Computational Intelligence, Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-13389-4"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Rodrigues, E., Sousa-Rodrigues, D., Teixeira de Sampayo, M., Gaspar, A.R., Gomes, A., Henggeler Antunes, C.: Clustering of architectural floor plans: a comparison of shape representations. Autom. Construct. 80, 48\u201365 (2017)","DOI":"10.1016\/j.autcon.2017.03.017"},{"issue":"3434","key":"13_CR18","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1126\/science.132.3434.1115","volume":"132","author":"DJ Rogers","year":"1960","unstructured":"Rogers, D.J., Tanimoto, T.T.: A computer program for classifying plants. Science 132(3434), 1115\u20131118 (1960)","journal-title":"Science"},{"key":"13_CR19","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.future.2019.11.034","volume":"105","author":"R Taheri","year":"2020","unstructured":"Taheri, R., Ghahramani, M., Javidan, R., Shojafar, M., Pooranian, Z., Conti, M.: Similarity-based android malware detection using hamming distance of static binary features. Future Gener. Comput. Syst. 105, 230\u2013247 (2020)","journal-title":"Future Gener. Comput. Syst."},{"key":"13_CR20","unstructured":"Wierzcho\u0144, S.T., K\u0142opotek, M.A.: Algorithms of Cluster Analysis. Institute of Computer Science, Polish Academy of Sciences (2015)"},{"key":"13_CR21","unstructured":"Yan, C., Mumford, D.: Geometric structure estimation of axially symmetric pots from small fragments. In: IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, vol. 2, pp. 92\u201397 (2002)"},{"key":"13_CR22","unstructured":"Zaher, H., et al.: Morphological and genetic diversity in olive (olea europaea subsp. europaea l.) clones and varieties. Plant Omics J. 4(7), 370\u2013376 (2011)"}],"container-title":["Lecture Notes in Networks and Systems","Digital Interaction and Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-11432-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T00:04:43Z","timestamp":1727654683000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11432-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031114311","9783031114328"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11432-8_13","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Multimedia, Interaction, Design and Innovation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"midi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/midi2021.opi.org.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}