Complementary View on Multivariate Data Structure Based on Kohonen’s SOM, Parallel Coordinates and t-SNE Methods-Reference-Cited by-同舟云学术

Complementary View on Multivariate Data Structure Based on Kohonen’s SOM, Parallel Coordinates and t-SNE Methods

Published:2017-09-22 Issue: Volume: Page:255-265
ISSN:2363-698X
Container-title:Applied Condition Monitoring
language:
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Author:

Bartkowiak Anna M.,Zimroz Radosław

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-61927-9_24

Reference12 articles.

1. Bartelmus, W., & Zimroz, R. (2009). A new feature for monitoring the condition of gearboxes in non-stationary operating systems. Mechanical Systems and Signal Processing, 23(5), 1528–1534.

2. Bartkowiak, A. M., & Zimroz, R. (2015). NMF and PCA as applied to gearbox data. In K. Jackowski, et al. (Eds.), Intelligent data engineering and automated learning– IDEAL 2015 (pp. 199–206). LNCS 9375, Springer.

3. Bartkowiak, A., & Zimroz, R. (2014). Dimensionality reduction via variables selection—Linear and nonlinear approaches with application to vibration-based condition monitoring of planetary gearbox. Applied Acoustics, 77, 169–177.

4. Hinton, G. E., & Roweiss, S. T. (2002). Stochastic neighbor embedding. In Advances in neural information processing systems (pp. 833–840), Vol. 15. USA.

5. Inselberg, A. (2009). Parallel coordinates: Visual multidimensional geometry and its applications (Textbook 554 pages). New York: Springer.

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