Abstract
With large data files outlier recognition requires a more sophisticated approach than the traditional data plots and regression lines. Also, the number of outliers tends to rise linearly with the data’s sample size.
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References
Zhang T, Ramakrishnan R, Livny M (1996) BIRCH. In: SIGMOD anthology (The organ of the “special interest group on management of data” of the Association of Computing Machinery), vol 6, pp 102–114
Mooi E, Sarstedt M (2011) Cluster analysis. In: A concise guide to market research. Springer, Berlin/Heidelberg, pp 237–284
SPSS Statistical Software (2012) www.spss.com. 8 Oct 2012
Atiqi R, Cleophas TJ, Van Bommel E, Zwinderman AH (2010) Prevalence of iatrogenic admissions to the departments of medicine/cardiology/pulmonology in a 1250 beds general hospital. Int J Clin Pharmacol Ther 48:517–521
Cleophas TJ, Atiqi R, Zwinderman AH (2011) Handling categories properly: a novel objective of clinical research. Am J Ther. doi:10.1097
Cleophas TJ, Zwinderman AH (2012) Testing clinical trials for randomness. In: Statistics applied to clinical studies. Springer, Dordrecht, pp 469–479
Cleophas TJ, Zwinderman AH (2012) Research closer to expectation than compatible with random sampling. In: Statistics applied to clinical studies. Springer, Dordrecht, pp 139–147
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Cleophas, T.J., Zwinderman, A.H. (2013). Anomaly Detection. In: Machine Learning in Medicine. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6886-4_10
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DOI: https://doi.org/10.1007/978-94-007-6886-4_10
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