algorithm - K-Means for diagonal clusters -


i have 2 clusters lie along 2 lines on 3d surface:

plot of 2 clusters

i've tried simple kmeans algorithm yielded above separation. (big red dots means)

i have tried clustering soft k-means different variances each mean along 3 dimensions. however, failed model this, presumably cannot fit shape of diagonal gaussian.

is there algorithm can take account data diagonal? alternatively there way "rotate" data such soft k-means made work?

k-means not prepared correlations.

but these clusters reasonably gaussian me, should try gaussian mixture modeling instead.


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