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:
创造力，在它最巅峰、最纯粹的形态中，是人类全情投入、卓越执行，以及某些时刻运气加持的结晶。
，更多细节参见搜狗输入法2026
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