在 Tbox 选择「文档 / 文章 / PPT」模式，用 Ling 把结果整理成可交付文档（负责“写清楚、排结构、可分享”）
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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