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This research comparison the ASTER and ETM+ data used in the classification of the land use of Guangzhou Huadou.

本研究从ASTER数据和TM/ETM+数据分析广州花都区土地利用分类中的应用对比分析。

In order to settle the problem that traditional methods can not classify noisy data, the algorithm chooses the boundary region of rough sets as the criteria of selecting partitional attributees.

该算法采用β-边界域作为选择分类属性的标准,因此解决了不能对噪声数据进行分类的问题。

It needs far less tagged samples to carry out classify mark a lot of untagged samples and complete Web information extraction by classified way.

只需要提供少量标记样本就可以实现对大量未标注样本的分类标注,从而以分类的方式完成Web数据抽取任务。

Finally, we carry out the Rough Set-Based method classing customers and obtain comparatively good result of experiment, which prove this paper is available.

通过对客户关系管理系统中获取的数据进行实验,本文实现了相应的客户分类功能,并获得了较好的效果,证实了本文采用的客户分类方法具有一定的实用价值。

And only by keeping the specific information in the mind can one adeptly take advantage of what he or she has learned.

接下来在分类描述每个阶段的specific trend,同时导入数据作为你分类的依据。

3 Through inquiring, inspecting, contrasting and analysing the information of soil basis classification, the Soil Taxonomy of Hubei province is established. The soils for Hubei province are divided into 10 soil orders, 16 suborders, 35 great groups and 54 subgroups. Compared with international soil systematics such as the American Soil

1.2 通过对数据库系统的查询检索,可快速地获得全省160多个典型剖面的景观特征、诊断指标和诊断属性等标准化的土壤信息数据,从而得到全省土壤系统分类的土系分类归属,可为全省土壤调查、土地资源评价与规划提供基础资料。

Automatic video classification ; Data mining ; Decision tree ; Class association rules

自动视频分类;数据挖掘;决策树;分类关联规则

A classifier is the basic method in the data mining,and a decision tree is one of the most important classifiers.

分类器是数据挖掘的一种基本方法,决策树是一种最重要的分类器。

Firstly, the features were divided into L groups and the SVM hyperplanes were constructed for each feature of training set. Secondly, the testing set was tested by SVMKNN method, and the decision profile matrixes were obtained. Finally, these decision profile matrixes were implemented by multi-feature fusion method.

在该算法中,设样本集特征可分为L组,先用SVM算法根据训练集中每组特征数据构造分类超平面,共构造L个;其次用SVMKNN方法对测试集进行测试,得到由L组后验概率构成的决策轮廓矩阵;最后将其进行多特征融合,输出最终的分类结果。

Finally, experiments on UCI and HCL2000 datasets showed that the proposed method outperformed traditional OAO and OAA etc. methods in terms of recognition accuracy significantly.

基于UCI和HCL2000数据集的实验表明,新方法在处理多分类问题时,识别精度显著优于传统多分类支持向量机方法。

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在对危险的南部地区访问时,他斥责什叶派民兵领导人对中央集权的挑衅行为。

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