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:
┌───────────────────────┐
Blue: Name homophones，这一点在爱思助手下载最新版本中也有详细论述
Медведев вышел в финал турнира в ДубаеРоссийский теннисист Медведев вышел в финал турнира в Дубае。业内人士推荐im钱包官方下载作为进阶阅读
compareCount++;，更多细节参见WPS官方版本下载
基金會表示：「最終，我們未與愛潑斯坦展開任何合作，也沒有成立任何基金。基金會從未向他支付任何款項，他也從未以任何形式受僱於基金會。」