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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:

Comparison of the histogram (left) and kernel density estimate (right) constructed using the same data. The 6 individual kernels are the red dashed curves, the kernel density estimate the blue curves. The data points are the rug plot on the horizontal axis.

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).

 

 

 

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Craige_Hales
Staff (Retired)

Re: Multivariate kernel density estimator in JMP

There are some 2D and 3D visualizations

 

BivariateBivariate

 

Scatter 3DScatter 3D

Craige

View solution in original post

1 REPLY 1
Highlighted
Craige_Hales
Staff (Retired)

Re: Multivariate kernel density estimator in JMP

There are some 2D and 3D visualizations

 

BivariateBivariate

 

Scatter 3DScatter 3D

Craige

View solution in original post

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