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The proposed classification system is divided into three parts: training procedure, classifying procedure and feedback procedure. The system has good scalability and flexility. Based on the text classification system, we have done much work on testing and have got much precise data.

在本文提出并实现的文本分类系统上,我们进行了一系列的测试工作,并得到了严格的实验数据,这些实验数据都表明:在训练样本不充分的情况下,结合反馈方法的文本分类系统可以获得事半功倍的效果。

The procedure is better than the previous algorithm due to its interpretability and simplicity.

最后,由Iris数据和Wine数据的分类实验证明:无论样本数量均衡与否,由规则相对匹配度提取规则都具有更好的分类效果。

According to the method, an initial classification was firstly performed by use of the conventional transitive closure method, and then an initial division matrix was constructed. With the weighted fuzzy ISODATA method for iterative computation of the related data, the data were classified effectively.

该方法首先利用传统的传递闭包方法得到1个初始分类,并在此基础上提出初始分划矩阵,根据考虑权重因子的模糊ISODATA方法对相关数据进行迭代计算,从而对数据进行有效分类。

Taking the Guyang county of Baotou city as a test area, the ETM + multi spectral data and CBS pan data are merged by the method of Principal Components Analysis.

为解决此问题,笔者以包头固阳县为研究区,利用主成分变换的方法,对多源遥感影像(ETM+多光谱数据和中巴资源二号卫星全色波段数据)进行融合处理;同时,在分类中,采用监督分类辅以目视解译分类法相结合的混合分类法,改进训练样本选取方法,进行变化信息的提取,同时给出了易混淆地物的遥感解译标志。

Based on the analysis of one-class classification, a clustering method based on one-class classification is put forward.

在分析一类分类方法最新研究成果的基础上,提出了基于一类分类的模式聚类方法,通过与传统聚类方法的比较,说明该方法对非线性数据处理聚类的优越性,并以某企业对供应商关系调查数据为例,将这种方法应用于企业供应商关系分析中。

In this paper, based on the analysis of the core concepts in the Kernel method, the basic principles of the multiclass classification based on the one-class classification were studied, and the reliability function applied to the multiclass classification was put forward, which makes the classif.

在分析一种非线性数据处理新方法的核心概念基础上,研究了基于一类分类方法的多类分类基本原理,提出了应用于多类分类的可信度函数,使聚类与分类的结果更具有可信度。

Based on the analysis of the basic theory of in the new method for processing the no-line date-The Kernel Methods, the basic principles of the multiclass classifying based on the One-class Classification have been studied.

在分析非线性数据处理新方法一核方法理论的基础,研究基于一类分类方法的多类分类的基本原理,提出应用于多类分类的可信度函数,使分类的结果更具有可信度。

A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.

提出平行坐标数据可视化技术与分类算法集成到一起进行可视化数据分类的方法。

By using statistical tools, mainly both parametric and non-parametric hypothesis test, we try to answer some basic questions on the application flow classification methods, and further, try to convince the necessity and rationality of the network layer statistical flow classification approaches.

在第三章中,我们从真实网络的流量特性分析着手,从流量迹的采集生成、流量迹统计数据的总体分析和对不同应用协议数据流的统计特性分析等几个方面,结合对应用流分类方法的一些基本问题的回答,采用数理统计的有关工具,分析和论证了统计流分类方法的必要性和合理性。

In the paper, I analyze and deal with the primal data of eradiate noise to get the ratio of recognition and make a conclusion that the feature extraction arithmetic and classifier arithmetic are efficient.

本文利用两次松花湖湖泊试验所采哈尔滨工程大学硕士学位论文集的船舶辐射噪声数据进行分析处理,为了验证模糊融合分类器的分类性能,依据具体情况做了两个分类试验,给出各自具体的识别率,并由此得出了相应的结论,即本文所选取的特征提取和分类器算法基本上是有效的。

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