Reducing the James–Stein Shrinkage Estimator for Automatically Grouping Heterogeneous Production Batches

Author:

Akhmatshin F. G.,Petrova I. A.,Kazakovtsev L. A.,Kravchenko I. N.

Publisher

Pleiades Publishing Ltd

Reference18 articles.

1. Ershov, I.A., Voskoboinikova, O.B., and Stukach, O.V., Cluster analysis of processes in semiconductor manufacturing, Dinamika Sistem, Mekh. Mash., 2016, vol. 2, no. 1, pp. 178–181.

2. Rozhnov, I., Orlov, V., and Kazakovtsev, L., Ensembles of clustering algorithms for problem of detection of homogeneous production batches of semiconductor devices, CEUR Workshop Proc., 2018, vol. 2098, p. 338. http://ceur-ws.org/Vol-2098/paper29.pdf.

3. Oti, E.U., Olusola, M.O., Eze, F.C., and Enogwe, S.U., Comprehensive review of K-means clustering algorithms, Int. J. Adv. Sci. Res. Eng., 2021, vol. 7, no. 8, pp. 64–69. https://doi.org/10.31695/ijasre.2021.34050

4. Fedosov, V.V. and Orlov, V.I., Minimal necessary extent of examinations of microelectronic products at inspection test stage, Izv. Vyssh. Uchebn. Zaved., Priborostr., 2011, vol. 54, no. 4, pp. 58–62.

5. Akhmatshin, F.G., Selection of free parameter FOREL-2 algorithm in the problem of automatic grouping of industrial products by homogeneous production batches, Sist. Upr. Inf. Tekhnol., 2021, no. 4, pp. 28–31. https://doi.org/10.36622/vstu.2021.86.4.006

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