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Multivariate kernel density estimator in JMP

I would like to obtain a column with the denisity of the points using a kernel density function.

In 1 D, it will be something like histograms:

https://en.wikipedia.org/wiki/Kernel_density_estimation

Densities can be visualized in the graph builder, and calculated for 1 dimensional data. But I wonder how to do that systematically for multivariate data (more than one dimmension).

Re: Multivariate kernel density estimator in JMP

There are some 2D and 3D visualizations

BivariateBivariateBivariate

Scatter 3DScatter 3DScatter 3D

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