{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:18:51Z","timestamp":1759033131381},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319456553"},{"type":"electronic","value":"9783319456560"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-45656-0_16","type":"book-chapter","created":{"date-parts":[[2016,9,7]],"date-time":"2016-09-07T09:56:45Z","timestamp":1473242205000},"page":"191-202","source":"Crossref","is-referenced-by-count":2,"title":["Hierarchical Clustering via Penalty-Based Aggregation and the Genie Approach"],"prefix":"10.1007","author":[{"given":"Marek","family":"Gagolewski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Cena","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maciej","family":"Bartoszuk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,8]]},"reference":[{"key":"16_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":"16_CR2","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.fss.2013.02.001","volume":"228","author":"O Aristondo","year":"2013","unstructured":"Aristondo, O., Garc\u00eda-Lapresta, J., de la Vega, C.L., Pereira, R.M.: Classical inequality indices, welfare and illfare functions, and the dual decomposition. Fuzzy Sets Syst. 228, 114\u2013136 (2013)","journal-title":"Fuzzy Sets Syst."},{"key":"16_CR3","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24753-3","volume-title":"A Practical Guide to Averaging Functions","author":"G Beliakov","year":"2016","unstructured":"Beliakov, G., Bustince, H., Calvo, T.: A Practical Guide to Averaging Functions. Springer, Heidelberg (2016)"},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Bortot, S., Marques Pereira, R.: On a new poverty measure constructed from the exponential mean. In: Proceedings of IFSA\/EUSFLAT\u201915, pp. 333\u2013340. Atlantis Press (2015)","DOI":"10.2991\/ifsa-eusflat-15.2015.49"},{"key":"16_CR5","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/978-3-319-40581-0_36","volume-title":"Information Processing and Management of Uncertainty in Knowledge-Based Systems","author":"A Cena","year":"2016","unstructured":"Cena, A., Gagolewski, M.: Fuzzy K-minpen clustering and K-nearest-minpen classification procedures incorporating generic distance-based penalty minimizers. In: Carvalho, J.P., Lesot, M.-J., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R.R. (eds.) IPMU 2016. CCIS, vol. 611, pp. 445\u2013456. Springer, Heidelberg (2016). doi: 10.1007\/978-3-319-40581-0_36"},{"key":"16_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-30958-8","volume-title":"Encyclopedia of Distances","author":"MM Deza","year":"2013","unstructured":"Deza, M.M., Deza, E.: Encyclopedia of Distances. Springer, Heidelberg (2013)"},{"key":"16_CR7","unstructured":"Gagolewski, M.: Data Fusion: Theory, Methods, and Applications. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland (2015)"},{"key":"16_CR8","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.ins.2016.05.003","volume":"363","author":"M Gagolewski","year":"2016","unstructured":"Gagolewski, M., Bartoszuk, M., Cena, A.: Genie: a new, fast, and outlier-resistant hierarchical clustering algorithm. Inf. Sci. 363, 8\u201323 (2016)","journal-title":"Inf. Sci."},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Lapresta, J., Lasso de la Vega, C., Marques Pereira, R., Urrutia, A.: A new class of fuzzy poverty measures. In: Proceedings of IFSA\/EUSFLAT 2015, pp. 1140\u20131146. Atlantis Press (2015)","DOI":"10.2991\/ifsa-eusflat-15.2015.161"},{"key":"16_CR10","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2013","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, Heidelberg (2013)"},{"issue":"4","key":"16_CR11","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1093\/comjnl\/9.4.373","volume":"9","author":"GN Lance","year":"1967","unstructured":"Lance, G.N., Williams, W.T.: A general theory of classificatory sorting strategies. Comput. J. 9(4), 373\u2013380 (1967)","journal-title":"Comput. J."},{"key":"16_CR12","volume-title":"Numerical Ecology","author":"P Legendre","year":"2003","unstructured":"Legendre, P., Legendre, L.: Numerical Ecology. Elsevier Science BV, Amsterdam (2003)"},{"key":"16_CR13","unstructured":"M\u00fcllner, D.: Modern hierarchical, agglomerative clustering algorithms. arXiv:1109.2378 [stat.ML] (2011)"},{"key":"16_CR14","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1016\/0167-8191(95)00017-I","volume":"21","author":"CF Olson","year":"1995","unstructured":"Olson, C.F.: Parallel algorithms for hierarchical clustering. Parallel Comput. 21, 1313\u20131325 (1995)","journal-title":"Parallel Comput."},{"key":"16_CR15","unstructured":"R Development Core Team: $${\\sf {R}}$$ : A Language and Environment for Statistical Computing. $${\\sf {R}}$$ Foundation for Statistical Computing, Vienna (2016). http:\/\/www.R-project.org"}],"container-title":["Lecture Notes in Computer Science","Modeling Decisions for Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-45656-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T18:09:15Z","timestamp":1498327755000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-45656-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319456553","9783319456560"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-45656-0_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}