The Impact of Clustering-Based Sequential Multivariate Outliers Detection in Handling Missing Values
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0293-0_17
Reference22 articles.
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3. Schafer JL, Graham JW (2002) Missing data: our view of the state of the art. Psychol Methods 7(2):147–177. https://doi.org/10.1037/1082-989X.7.2.147
4. García-Laencina PJ, Sancho-Gómez JL, Figueiras-Vidal AR (2010) Pattern classification with missing data: a review. Neural Comput Appl 19(2):263–282. https://doi.org/10.1007/s00521-009-0295-6
5. Rubin DB (1978) Multiple imputations in sample surveys—a phenomenological Bayesian approach to nonresponse. Am Stat Assoc 1:20–34
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