Optimizing a TS with Gaussian: how to follow secondary Eigenvalue?

02 February 2019 1 2K Report

When optimizing to a TS with Gaussian, it is my understanding that Gaussian (Eigen-value following algorithm) 'selects' the Eigenvalue with the largest negative value.

Is it possible to follow a different mode?

Erik Cuevas

What do you mean, another eigenvalue with less significance imprortance in the data variability?

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