{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:40:35Z","timestamp":1775839235511,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,15]]},"DOI":"10.1145\/3583133.3590555","type":"proceedings-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T23:30:33Z","timestamp":1690241433000},"page":"467-470","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Automated algorithm composition of unsupervised image clustering algorithms"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2971-6953","authenticated-orcid":false,"given":"Mia","family":"Gerber","sequence":"first","affiliation":[{"name":"University of Pretoria, Pretoria, South Africa"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3902-5582","authenticated-orcid":false,"given":"Nelishia","family":"Pillay","sequence":"additional","affiliation":[{"name":"University of Pretoria, Pretoria, South Africa"}]}],"member":"320","published-online":{"date-parts":[[2023,7,24]]},"reference":[{"key":"e_1_3_2_1_2_1","unstructured":"Neha Bharill and Aruna Tiwari. 2017. A review of clustering techniques and developments. (2017).  Neha Bharill and Aruna Tiwari. 2017. A review of clustering techniques and developments. (2017)."},{"key":"e_1_3_2_1_3_1","unstructured":"H S Chandrashekar A Geetha Kiran Murali S MS Dinesh and BR Nanditha. 2021. Oral Images Dataset. https:\/\/data.mendeley.com\/datasets\/mhjyrn35p4\/2.  H S Chandrashekar A Geetha Kiran Murali S MS Dinesh and BR Nanditha. 2021. Oral Images Dataset. https:\/\/data.mendeley.com\/datasets\/mhjyrn35p4\/2."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"e_1_3_2_1_6_1","unstructured":"DanB. 2017. 5 Celebrity Faces Dataset. https:\/\/www.kaggle.com\/datasets\/dansbecker\/5-celebrity-faces-dataset.  DanB. 2017. 5 Celebrity Faces Dataset. https:\/\/www.kaggle.com\/datasets\/dansbecker\/5-celebrity-faces-dataset."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"e_1_3_2_1_8_1","unstructured":"Martin Ester Hans-Peter Kriegel J\u00f6rg Sander Xiaowei Xu etal 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol. 96. 226--231.  Martin Ester Hans-Peter Kriegel J\u00f6rg Sander Xiaowei Xu et al. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol. 96. 226--231."},{"key":"e_1_3_2_1_9_1","volume-title":"Clustering by passing messages between data points. science 315, 5814","author":"Frey Brendan J","year":"2007","unstructured":"Brendan J Frey and Delbert Dueck . 2007. Clustering by passing messages between data points. science 315, 5814 ( 2007 ), 972--976. Brendan J Frey and Delbert Dueck. 2007. Clustering by passing messages between data points. science 315, 5814 (2007), 972--976."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3048172"},{"key":"e_1_3_2_1_13_1","series-title":"SIAM journal on scientific computing 23, 2","volume-title":"Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method","author":"Knyazev Andrew V","year":"2001","unstructured":"Andrew V Knyazev . 2001. Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method . SIAM journal on scientific computing 23, 2 ( 2001 ), 517--541. Andrew V Knyazev. 2001. Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method. SIAM journal on scientific computing 23, 2 (2001), 517--541."},{"key":"e_1_3_2_1_15_1","unstructured":"Yann LeCun. 1998. The MNIST database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ (1998).  Yann LeCun. 1998. The MNIST database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ (1998)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/RCAR52367.2021.9517087"},{"key":"e_1_3_2_1_17_1","first-page":"2579","article-title":"Visualizing high-dimensional data using t-SNE","volume":"9","author":"Pvd Maaten","year":"2008","unstructured":"Maaten LJ Pvd and GE Hinton . 2008 . Visualizing high-dimensional data using t-SNE . J Mach Learn Res 9 , 2579 -- 2605 (2008), 9. Maaten LJPvd and GE Hinton. 2008. Visualizing high-dimensional data using t-SNE. J Mach Learn Res 9, 2579--2605 (2008), 9.","journal-title":"J Mach Learn Res"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.030"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2020.2976182"},{"key":"e_1_3_2_1_21_1","unstructured":"Pranav Raikote. 2020. Covid-19 Image Dataset. https:\/\/www.kaggle.com\/datasets\/pranavraikokte\/covid19-image-dataset.  Pranav Raikote. 2020. Covid-19 Image Dataset. https:\/\/www.kaggle.com\/datasets\/pranavraikokte\/covid19-image-dataset."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1971.10482356"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00963"},{"key":"e_1_3_2_1_24_1","volume-title":"Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. arXiv preprint arXiv:2012.01768","author":"Schmarje Lars","year":"2020","unstructured":"Lars Schmarje , Johannes Br\u00fcnger , Monty Santarossa , Simon-Martin Schr\u00f6der , Rainer Kiko , and Reinhard Koch . 2020. Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. arXiv preprint arXiv:2012.01768 ( 2020 ). Lars Schmarje, Johannes Br\u00fcnger, Monty Santarossa, Simon-Martin Schr\u00f6der, Rainer Kiko, and Reinhard Koch. 2020. Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. arXiv preprint arXiv:2012.01768 (2020)."},{"key":"e_1_3_2_1_25_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_27_1","volume-title":"Mixtures of probabilistic principal component analyzers. Neural computation 11, 2","author":"Tipping Michael E","year":"1999","unstructured":"Michael E Tipping and Christopher M Bishop . 1999. Mixtures of probabilistic principal component analyzers. Neural computation 11, 2 ( 1999 ), 443--482. Michael E Tipping and Christopher M Bishop. 1999. Mixtures of probabilistic principal component analyzers. Neural computation 11, 2 (1999), 443--482."},{"key":"e_1_3_2_1_28_1","volume-title":"Complexity theory and the no free lunch theorem. Search methodologies","author":"Whitley Darrell","year":"2005","unstructured":"Darrell Whitley and Jean Paul Watson . 2005. Complexity theory and the no free lunch theorem. Search methodologies ( 2005 ), 317--339. Darrell Whitley and Jean Paul Watson. 2005. Complexity theory and the no free lunch theorem. Search methodologies (2005), 317--339."},{"key":"e_1_3_2_1_29_1","unstructured":"Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. arXiv:cs.LG\/1708.07747 [cs.LG]  Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. arXiv:cs.LG\/1708.07747 [cs.LG]"}],"event":{"name":"GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation","location":"Lisbon Portugal","acronym":"GECCO '23 Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Companion Conference on Genetic and Evolutionary Computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583133.3590555","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583133.3590555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:44Z","timestamp":1750178264000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583133.3590555"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,15]]},"references-count":27,"alternative-id":["10.1145\/3583133.3590555","10.1145\/3583133"],"URL":"https:\/\/doi.org\/10.1145\/3583133.3590555","relation":{},"subject":[],"published":{"date-parts":[[2023,7,15]]},"assertion":[{"value":"2023-07-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}