improve statistic of multidimensional data
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終了済み: MATLAB Answer Bot 2021 年 8 月 20 日
I have some data point with multiple properties and i need to scale up those datapoints to a higher quantity while keeping the relativ occurance of all the properties.
So for example i have some data A with 5000 elements where the value of A describes the property a of all 5000 individuell elements, then i have B with 5000 elements which describes property b, and so on with c,d,e,f,g,.... i think for the start 3 property erray should be enough. The values of A ,B and C can be big or small maybe they will describe e bimodal behaviour in A and a gaussian in B and maybe lognormal in C.
I now want to scale up my data to lets say 20000 datapoint while keeping the properties of A, B and C in bimodal, gausion, lognormal shape.
I tried to get 3 binary histograms with histcounts2, respectively between A-B, B-C and A-C, smoothed them a little bit to fill out the "holes" in my 3 matrices since they come from the too little statistics of only those 5000 datapoints, and then tried to reconstruct the 3d matrix form the 3 2D matrices, but somhow it didnt work.
I also tried:
but this didnt work neither.
Does anybody have an idea how to do this properly??
Many thanks in advance and best regards
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