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:
"author": item.get("author"),，详情可参考搜狗输入法2026
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17:12, 27 февраля 2026Интернет и СМИ
「我尊重所有人的選擇，但同時也希望所有人尊重我們的選擇，但是所有的大前提都是：『我們有得選』，」他說。