The optimal classification problem in constructing histogram 作直方图中的最优分组问题
In these classification methods the feature of optimal classification in original Bayes method is reserved, it makes the original Bayes method turning into non-parametric classification and enlarges the applicability range of classification, thus the optimal classification of intercrossed samples which amount is limited. 该分类方法保留了原贝叶斯分类法最优分类(OC)的性质,使原贝叶斯分类法转化为非参数分类法,扩大了分类法的适用范围,可对数量有限的交叉样本进行最优分类(OC)。
This thesis proposes an algorithm based on the SVM model. Through the SVM, we can find the information of the optimal classification surface. 研究并提出了使用支持向量机模型,建立最优分类(OC)面,通过二类分类器,分别获取各次范畴分类的方法,并通过实验验证其可行性。
Determination of Optimal Classification(OC) Number with Genetic Algorithm Based on Matlab 基于MATLAB采用遗传算法确定最佳聚类数
Meanwhile, the combination of data mining tools that weka, constantly on the Bayesian classifier can be dynamically adjusted to achieve optimal classification results. 同时,结合数据挖掘工具weka证明,在不断对贝叶斯分类进行动态调整之后可使分类结果达到最优。