I found this website thanks to user Lim. But please explain like I'm five the two options below.
What does "soft" vs. "hard" mean?
"(k-means)" vs. "hard (Force vector)"?
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It is explained on this page. Basically "hard" pushes the values apart, which causes the points to be as far away as they can be. While "k-means" uses clustering, in other words tries to find the center of a division of space, thus not being as extreme as the latter.
So basically the difference is like asking:
Thus in the first case they tend to be near the walls, in the later not so much. But I'm not sure a 5 year old can appreciate the difference.