This algorithm combine advantages of KNN and Clustering, decreasing training samples and quantity of algorithm calculating, and increasing the speed of retrieval.

该算法将聚类方法和KNN算法的优点结合起来，从而达到缩减了训练样本数量，减少了算法计算量，加快检索速度的目的。

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With the advent of integrated circuits physical limits, simply by increasing processor speed to improve the method of calculating capacity has became increasingly difficult.

随着集成电路物理极限的到来，单单通过提高处理器速度来提高计算能力的方法已越来越困难。

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