Thanks zombiesniper, your name is a perfect counterpart for phobrain
I have the benefit of knowing that Sift matches on features, and I'm not sure how much color comes into play, though it sure looks like it in these three pics. (I've also been playing with color match algorithms.. rubbing hands.) So in this case I look at the shading and e.g. on the first the combo of the pink petal with the green leaves vs. the textures in the next pic. Then the next pair is like the focus point is mirrored, top then bottom.
The structural similarities and disparate themes together give me a feel that I might hang in an exhibit, though to no acclaim it appears.
robbins.photo, thanks for staying with me, I am beginning to consider you a fan because you keep thinking of how you would use the software yourself. If anyone were to make a consumer product out of this sort of thing, the ability to find images with the same subject matter will probably be key. I think image sites will offer this in the next 2+ years, but using more advanced tech. Sift is kind of obsolete, but my glimmerings of the new deep learning tech is that it's very expensive for now, so maybe Google will offer it for sites to plug into, based on the new deep learning hardware they've developed. Here's Sift's next match in that series, which is more what you'd want for those purposes (this time I right-clicked on the image itself to get the URL, rather than posting the page URL):
I'm more interested in when the algorithms fail to find close matches and jump to the nearest similar, which is why I got excited about these, and wouldn't post a 'sensible' match except to illustrate a point (not a salesman

. I have to admit it is impressive when it does a good match like the one above though, and one of the first such methods I tried found some dupes I had.
For fine art photographers, these methods would be interesting for people putting shows together based on lots of photos, since you can click through interesting matches til the cows come home, and then some, though it would be for the few of the few I expect.
Finally, I have ideas to make my site 'speak' to the individual, become a sort of lion or witch in the wardrobe, and image matching is a low-hanging fruit to get started with, but building the whole thing is beyond me for now. I'm just collecting interesting combos to train a neural network if I ever figure out how to build one.