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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:，详情可参考WPS官方版本下载
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（三）未经批准设置无线电广播电台、通信基站等无线电台（站）的，或者非法使用、占用无线电频率，从事违法活动的。
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