Erratum to: Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction
نویسندگان
چکیده
*Correspondence: [email protected] Institute of Engineering and Computational Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany Erratum to: Adv. Model. and Simul. in Eng. Sci. (2016) 3:20 DOI 10.1186/s40323-016-0072-x In the publication of this article [1], there was an error in the “Simple alternatives for clustering” section which was published with an incorrect value. The error: ‘We will present several new clustering techniques in the following. For a general approach, let M : X → R≥ 0 be an arbitrary function onX representing ameasure like the deformation D or relative scatter Srel.’ Should instead read: ‘We will present several new clustering techniques in the following. For a general approach, let M : X → R≥0 be an arbitrary function onX representing a measure like the deformationD or relative scatter Srel.’ This has now been included in this erratum.
منابع مشابه
Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction
Background: Car crash simulations need a lot of computation time. Model reduction can be applied in order to gain time-savings. Due to the highly nonlinear nature of a crash, an automatic separation in parts behaving linearly and nonlinearly is valuable for the subsequent model reduction. Methods: We analyze existing preprocessing and clustering methods like k-means and spectral clustering for ...
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عنوان ژورنال:
- Adv. Model. and Simul. in Eng. Sciences
دوره 3 شماره
صفحات -
تاریخ انتشار 2016