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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:，更多细节参见谷歌浏览器【最新下载地址】
New methods are needed to spot fake honey says Dr Juraj Majtán