### What changes were proposed in this pull request?
apply Lemma 1 in [Using the Triangle Inequality to Accelerate K-Means](https://www.aaai.org/Papers/ICML/2003/ICML03-022.pdf):
> Let x be a point, and let b and c be centers. If d(b,c)>=2d(x,b) then d(x,c) >= d(x,b);
It can be directly applied in EuclideanDistance, but not in CosineDistance.
However, for CosineDistance we can luckily get a variant in the space of radian/angle.
### Why are the changes needed?
It help improving the performance of prediction and training (mostly)
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
existing testsuites
Closes#27758 from zhengruifeng/km_triangle.
Authored-by: zhengruifeng <ruifengz@foxmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
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