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:
В России ответили на имитирующие высадку на Украине учения НАТО18:04
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Александра Статных (Редактор отдела «Путешествия»)。同城约会是该领域的重要参考
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"Through the government's flood programme a further £10.5bn [will be] invested in protecting 900,000 more properties by 2036."