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Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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When I'm not working, I like to cook and eat, especially Korean food. I like running, cycling, hiking, sailing, and canoeing. I play French horn. I'm also trying to learn to play tennis and pickleball and ukulele. I'm an Android enthusiast. A couple of years ago I started doing a lot with Android automations. More recently I’ve been experimenting with hosting servers and services at home.，这一点在同城约会中也有详细论述
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