Bibliografia#
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Paweł Cichosz. Systemy uczące się. Wydawnictwa Naukowo-Techniczne, 2007.
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Peter Flach. Machine learning: the art and science of algorithms that make sense of data. Cambridge university press, 2012.
Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep learning. book in preparation for mit press. URL¡ http://www. deeplearningbook. org, 2016.
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Anil K Jain. Data clustering: 50 years beyond k-means. Pattern recognition letters, 31(8):651–666, 2010.
Dao Lam and Donald Wunsch. Clustering, pages 1115–1149. Volume 1. NJ, United States: Wiley–IEEE Press, 12 2014. doi:10.1016/B978-0-12-396502-8.00020-6.
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Peter J Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of computational and applied mathematics, 20:53–65, 1987.
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Filip Wójcik. Supporting decision processes in the organization with the use of associative analysis algorithms. PhD thesis, Wroclaw University of Economics and Buisiness, Wrocław, Poland, November 2021. Available at https://wir.ue.wroc.pl/info/phd/UEWR3483636aa91d4d2d81133ea64251c351/.