1. 根据数据范围创建若干个桶
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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「其實我們講什麼，政府都不會保證一定會聽的。政府沒有說服或解釋，這份問卷具體的作用將會是怎樣。」