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- The output of classification is discrete class label. 分类的输出是离散的类别值。
- Classification is an important sub-branch of Data Mining, which aims to build the classifier used to predict the class label of new coming data. 分类(Classification)是数据挖掘领域的一个重要研究分支，分类首先要构造分类器，并对依据分类器对新数据进行类别预测。
- Classification needs to construct a model(also called classifier)which makes a map of records in Database with a peculiar class label. 分类是要构造一个数学模型(分类器)，该模型能把数据库的记录映射到某一个特定的类别。
- Traditional algorithm terminates here, and then marks the related nodded with the most common class label, which makes accuracy drop down. 传统算法到这里就停止了，并把节点类别分布中最普通的类别(大多数类)标记为相应节点的类别。
- For unknown class label samples set，an unsupervised feature selection algorithm based on center distance ratio principle is proposed. 针对未知类标号的样本集，提出基于中心距离比值准则的无监督特征选择算法。
- Classification is to predict the class label of unknown data with supervisor obtained from experiential data , which is a basic problem in pattern recognitionx machine learning and statistics, as well as in data mining. 分类即通过由经验数据训练得到的分类器预测未知数据的归属，是模式识别、机器学习、统计分析等领域的一个基本问题，也是一种最常见的数据挖掘任务。
- Classification is an important sub-branch of Data Mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample. 分类是数据挖掘的一个重要分支，分类能找出描述数据类或概念的模型(或函数)，以便能使用模型预测类标记未知的对象类。
- Navigation is difficult on this river because of the hidden rocks. 因为河上有暗礁，所以在这条河上航行很困难。
- USB mouse firmware, through the reform process, can learn HID Class firmware written, understanding, usb firmware process, to help you quickly enter the temple of usb firmware. USB鼠标固件程序，通过改程序，可以学HID类的固件程序的写法，了解，usb固件程序的流程，帮助您很快的进入usb固件的殿堂。
- The objective is to make the discriminant scores as close to its corresponding class labels as possible. 此演算法的目标为得到一组区别向量，使得样本求出的区别分数与其类别标签越近越好。
- The penalty clause was hidden in the small print. 惩罚条款印在不起眼的小号字体部分。
- The castle was hidden behind a curtain of smoke. 城堡被一层烟雾遮掩着。
- We call those class labels as majority class leaf nodes whose percentage of any class distribution is large than the assumed threshold value. 即当一个叶子节点的类别分布中某一个类别分布大于指定的阈值时(如0.;51)，我们就把这个类别称为大多数类，相应的叶子节点就称为大多数类叶子节点，其它的类别称为少数类。
- My home town lies low in a hidden valley. 我的家乡位于一个隐蔽的山谷里。
- He whistled to his friend to keep hidden. 他吹口哨通知朋友继续隐蔽。
- Through quantized the image to several representing class, the image pixel values are replaced by appropriate color class labels, forming a class-map of the image. 通过对灰度图像的灰度级压缩,将图像中每个像素的灰度值用一个合适的类标志来代替,构成一个“类-图像”。
- Name which you take to hide your real name. 用来掩盖你真名的名字。
- A hidden hate cropped out in her words. 她言语中流露出怨恨之意。
- Kindly send us two samples of each class quote for. 报价时，请对每一个等级的各寄两个样品。
- Hide it lest he (should) see it. 把它藏起来免得他看见。
