[R] gaussian model of 3d surface
maechler at stat.math.ethz.ch
Sat Jul 24 16:41:03 CEST 2004
>>>>> "Alan" == Alan Swanson <swanson at yellowstoneresearch.org>
>>>>> on Fri, 23 Jul 2004 10:35:08 -0600 writes:
Alan> Hi all, I'm working with radar remote sensing data and
Alan> want to measure the height of 3d spikes created by
Alan> backscatter from bright objects. My thought is to fit
Alan> a gaussian density function to each spike and extract
Alan> the x, y and z location of the peak. Can anybody give
Alan> me a hint of how to do this?
If I understand correctly,
you want to fit what is commonly called a "(finite) Normal
Mixture Model" to your 3d data
and then extract the (estimated) (3d-)means of each component ?
If yes, then consider using package 'mclust'.
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