分类信息 meaning in English
category message
classified information
Examples
- Second , using the method of wavelet - transform , extract the stable second - low frequency wavelet coefficient , build face database . third , for the sake of eliminating the correlations between entities of the image vector and extracting character - vector , which keeps the main class - information and can be used to rebuild original image , the principal component analysis ( pca ) was used
对人脸库进行主成份分析，此方法根据人脸图像整体的灰度相关性来提取特征向量，所提取出的特征向量保留了原图像空间中的主要分类信息，并能在均方误差最小的意义上重建原图像。 - E . porter . it investigates the general developing and competitive strategy . according to the faithful data and the practice on the classified information industry , the paper concludes the definition , classification , history , compares the business models of internet classified information , and analyzes the exterior circumstance , competition status , trend , strength , weakens , threaten , and opportunity
本文通过查阅大量的资料,并结合作者自身在网络分类信息行业的实践,深入地对新兴的分类广告和信息行业进行了考察和分析,归纳了分类信息网的定义、类别、发展历程等,比较了目前基于近联网模式的分类信息网的商务发展模式,分析了分类信息网的外部环境、竞争状况、发展趋势以及行业的优势、劣势、威胁与机会。 - The result shows that etm + and cbers are suitable for classificating in rangeland resources , they can discern types of the first unit , except for plains and sections of the medium - height mountains where data of remote sensing are got lower accuracy , but there are the mixed types in the second unit ; modis is not suitable for the application in classifing the rangeland resources types because of its lower special resolution
结果表明： etm +和cbers都比较适合草地资源分类，除在低山、部分中山分类难度大、正确率低外，在其它区域都能划分到“类”一级，但在“型”级划分上，个别类中有所混淆； modis卫星数据不适于作草地资源分类信息源，仅能划分出几个复合的大类。 - The output information of single classifier has three forms of abstract , rank and measurement single classifier supplies both the unknown pattern classifying information on the measurement level and the wrong classifying distribution information of the training samples on the abstract level , which are used to design the fuzzy multiple classifiers combination method
单个分类器的输出信息有三种表现形式：符号层、排序层、度量层。应用单个分类器在度量层次上，对未知模式的分类信息；在符号层次上，训练样本的错分类分布状况，设计了模糊多分类器组合方法。 - Furthermore , in order to assure that the acquired classification rules to be accuracy as well as comprehensible , we put forward a method to compute the comprehensibility of the classification rule using attribute information gain , different to the other methods which evaluate the comprehensibility of the rule only by its simplicity . thus the output of the mining is more understandable and informational . we also do it using a niche - based ga
在此基础上，为了从现有数据中挖掘易于理解的分类规则，本文提出了一种应用属性信息增益计算分类规则可理解性程度的方法，改进了以往方法中仅依靠规则的简单度来评价分类规则易于理解性的缺点，从而使得到的分类规则包含有更多的分类信息，更加有助于用户的理解。