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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下足“细”的功夫。一地文旅能否赢得游客满意，既要看产品，也要看服务。对于文旅而言，产品为王，服务为本。服务“上心”，游客“舒心”，文旅才能“留心”。细化服务举措，优化游客体验，同样重要。