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:
第三章 违反治安管理的行为和处罚
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5 程序员的未来 (裁员 or 两极化)
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“这是诈骗电话。”我对母亲说。可她将信将疑，嘴里嘟囔着：“可他说得挺真的……”