And we choose simple Cluster algorithm for the classification.
在特征分类算法中，本文选择简单的聚类算法。
Support Vector Machines algorithm is a simple and effective classification method based upon statistical learning theory.
支持向量机是基于统计学习理论框架下的一种简单、有效的分类方法。
The results show the algorithm can obtain classification rules with high predictive accuracy, and the rules discovered by the algorithm are considerably simple and easy for user to understand.
结果表明通过该算法可以得到预测准确度较高的分类规则，而且通过该算法得到的分类规则较简单，容易让用户理解。
Naive Bayes algorithm is a simple and effective classification algorithm. However, its classification performance is affected by its conditional attribute independence assumption.
朴素贝叶斯算法是一种简单而高效的分类算法，但是它的条件独立性假设影响了其分类性能。
This algorithm is simple, useful, and easy to implement, but the value of K is hard to determine and the result of classification is easy to disturb by individual attribute.
该算法简单有效，易于实现，但是其K值难以确定，而且分类结果易受单个属性干扰。
This algorithm is simple, useful, and easy to implement, but the value of K is hard to determine and the result of classification is easy to disturb by individual attribute.
该算法简单有效，易于实现，但是其K值难以确定，而且分类结果易受单个属性干扰。
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