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:
上世纪，福建当地一家企业斥巨资买断了三明市万寿岩的开采权，这一后来被誉为“南方周口店”的史前遗址，一度面临挖掘机和炸药包的威胁。
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