有时候，急迫的问题是必须处理数据分类。
Sometimes, the pressing issue has to do with data categorization.
数据分类的方法直接影响着分类效果。
The method of data classification influences the efficiency of classification.
在数据量很大时，原有的数据分类方法变得失效。
When massive data is involved, traditional classification algorithms become inefficient.
您可以认为它是一项在模型层完成的任务，因为要给数据分类。
You could argue it's a task to be accomplished in the Model layer, since you're categorizing the data.
元素允许对消息或程序内容使用低级的数据分类规范。
The element allows the specification of low-level data-typing for the message or procedure contents.
最后，我们提出了一种基于抽样的快速数据分类算法。
Finally, we present a fast data classification algorithm based on sampling.
经过考虑之后将数据分类显示，在图片上显示结果。
Then it sorts the species according to its pondered mean along the environmental gradient, and shows the graph.
本文给出目标空间的重建数据分类和可操作计算方法。
This article offers a feasible method to reconstruct the targets' space, classify the echo data and compute the imageable targets.
利用基于马氏距离的数据分类技术，对输入样本分类。
By adopting data sorting technology based on Mars distance the input samples are sorted.
数据分类的粒度与是否消息分为多个部分之间有一定的关系。
There is naturally a relationship between the granularity of the data-typing and the break-down of the message into parts.
目的探讨支持向量机在基因表达数据分类研究中的应用条件和效果。
Objective Discuss the condition and the effect of SVM in the classification of gene expression data.
维特别数据分类和跟踪，从外部系统或数据源的数据输入形式的变化。
Special data dimension classifies and tracks changes to source data from external systems or data entry forms.
你还需要一台计算机去捕获图片，以及相应的软件进行天文数据分类。
You will also need a computer to capture the images and software to perform the reductions.
表格(Tables)软件还处在测试期，目前添加了更多数据分类和过滤功能。
The Tables app, still in beta, now has the ability to do more data sorting and filtering.
实验证明，用该方法实现的数据分类复杂性低，且能有效提高分类效果。
The experiments show that data classification using this method is simpler in the structure, and can improve the efficiency of classification.
在这部分，你可以定义软件在天文数据分类或动画时需要对齐的图片参数。
In this section, you can define various Settings used by the software when it tries to align the individual images for data reduction or for blinking.
支持向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。
SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
另外，还需要主数据最佳实践(比如用来满足主数据分类需求的最佳实践)。
Furthermore, there also needs to be master data best practices (such as to address master data categorization needs).
现有的数据分类算法大体可以划分为两大类：积极学习方法与消极学习方法。
Existing data classification algorithms may be mainly divided into two kinds: Active learning methods and lazy learning methods.
在处理复杂化工流程时，为了缩小解题规模，必须进行数据分类和流程分解。
In treating complex chemical process, as the scale of solution is reduced, it is necessary to classify the data and to decompose flowsheet.
再利用平均CSR匹配置信度和一个规则匹配算法构建有效的序列数据分类器。
Then an effective sequential data classifier is constructed using average CSR matching confidence and a rule-matching algorithm.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
当然，事实在于，优化网络以同时处理这些显著不同的数据分类即便可能，也是极其困难的。
The reality of course is that tuning the network to simultaneously handle these drastically different classes of data is extremely difficult, if not impossible.
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。
A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.
电力变压器故障诊断的仿真实验结果表明，利用该分类方法可以提高数据分类的精确性。
The result of simulative experiment for power transformers fault diagnosis shows that the method can overcome the before-mentioned shortcomings and improve the accuracy of data classification.
属性误差主要来源于拓扑分析误差、数据分类误差、文本文件数据的误差和人工解译误差。
The property errors are mainly from errors of topology analysis, data classification, document data and artificial translation.
径向基函数(RBF)神经网络因其结构简单而被广泛地用于非线性函数近似和数据分类。
Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.
数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
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