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:
第四十八条 组织、胁迫未成年人在不适宜未成年人活动的经营场所从事陪酒、陪唱等有偿陪侍活动的，处十日以上十五日以下拘留，并处五千元以下罚款；情节较轻的，处五日以下拘留或者五千元以下罚款。
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