分类数据

Information and parameters for spot weld evaluation and classification.

何设置文件。直观的屏幕对话框用以进入部件数据，操作员信息和点焊评估与分类的参数。

Taking into account the ordinal character of variables ,statistical inference for bidirectionally ordinal square contingency tables with missing data is studied by proposing a loglinear model with restrictions.

在充分考虑分类变量有序性的前提下，通过建立有约束的对数线性模型研究有缺失数据的双向有序方列联表的统计推断问题。

According to the results, we prove that our modified model perfectly simulate statistical characters of the real data.

经过分析，我们认为，对所比较的各变量而言，加入消费者分类和政府支出冲击的模型能较好的模拟我国实际数据的统计特征。

In this paper, three statistical methods are proposed for microarray data analysis.

聚类分析是一种对数据进行分类的基本的统计方法。

Cluster analysis of directional data is important to temporal clustering analysis of disease and stratification of season.

方向数据的聚类分析法对与疾病的时间聚集性进行分析、季节分层分类等有极其重要的意义。

On the aspect of urban spatial distribution DM: Adopting the conception model of combination of location and attribute, the author brings spatial coordinates, spatial relationship and attribute character into the unitive model of spatial computation, studies city's land suitableness evaluation and the method of spatial clustering in division of urban function districts and brings forward the arithmetic of classification layer. Aiming at land spatial optimization allocation, the author puts forward SGA. In this arithmetic selection, crossover and mutation operator are progressed on the space.

在城市空间分布数据挖掘方面：采用空间—属性一体化概念模型，把空间坐标、空间关系和属性特征纳入到统一的空间计算模型，分别对城市土地适宜性评价和城市功能区划分中的空间聚类方法进行了研究，并提出了一种分类图层的平滑算法；针对城市土地的空间优化配置，提出了一种空间遗传算法，该算法中的选择、交叉、变异算子都是在空间上进行的；对多要素离散空间场之间的相关性测度，定义了一种基于信息熵的规范的相关指数，并给出了计算方法。

The system uses principal component analysis and BP neural networks to locate the suspectable target area, and then drives the related camera to capture the detail image around the target. In addition, it can solve the problem of redundant image data in the traditional machine vision system.

系统由多个低分辨率、低成本的摄像头获取不规则的图像，用主成分分析法对原始样本数据提取特征，然后由BP神经网络对特征进行分类识别以确定可疑区域位置，再控制从动摄像头获取目标区域的细节图像，解决了传统机器视觉系统固有的图像冗余数据问题。

Linear classifier can make full use of DGA test data to the pattern recognition of transformer fault types.

线性分类器能够很好地利用DGA试验数据进行变压器故障类型的模式识别；其诊断结果的准确与否，与学习样本的典型性有一定的关系。

I was looking forward to this presentation because we use text-only automatic classifiers to help organize some of our data sources .

我很期待这个介绍因为我一直使用基于文本的自动分类器来组织一些我们的数据。

The author first collects data by means of field study and records all the substantial image of the Goddess of Mercy.

本论文以北投地区的观音供像为主轴，首先透过田野调查收集数据，忠实记录观音供像的实体，藉由外在形式的审视，从中予以探讨各类观音造形的象征意义，再以文献资料为辅，分析、解读其内在所蕴含的思想、信仰以及源流、分类，并由外在表征的观察，切入实质的本体，再由内在的意涵看外在形象的呈现，最后再作分析与审美特征的探讨。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。