马氏距离

方法：采用聚类分析及马氏距离判别的多元统计学方法对参麦注射液的HPLC指纹图谱中采集的数据进行分析。

Methods : Cluster analysis and mahalanobis distance analysis were adopted to analyze data of HPLC fingerprint of shenmai injection .

最后分析了WMP马氏距离在分布式环境下的应用前景。

At last , we analyze the prospect of WMP Mahalanobis Distance in distribute data mining .

利用DR区域马氏距离不变量在铁路编组场进行在场检测

Presence detection using DR region mahalanobis invariable in marshalling station

评分决名次的Excel算法基于EXCEL的马氏距离计算方法

The Excel Calculate Method Based on Grade to Decide Place in a Competition CALCULATE MAHALANOBIS DISTANCE WITH MICROSOFT EXCEL

基于EXCEL的马氏距离计算方法建立了基于Mahalanobis距离的异常检测模型对样本进行检测。

CALCULATE MAHALANOBIS DISTANCE WITH MICROSOFT EXCEL By using Mahalanobis method every sample was detected .

用马氏距离客观确定样本的空间结构后，我们可定义在E最小意义下高维空间到低维空间的映射。

After the space structure is fixed objectively with Mahalanobis 's distance the image from a higher-dimensional space to a lower-dimensional space is defined based upon the minimum E.

将小波变换和马氏距离相结合，提出了一种基于ISAR成像的雷达目标特征提取方法。

In this paper , by combining wavelet transform and Mahalanobis range , a feature extraction method of radar target using ISAR Imaging is presented .

在初始数据通路和流水线节拍设计的基础上，根据对马氏距离计算特点的深入理解分析，从SRAM模块和乘法器资源两个方面进一步优化了设计。

Base on the initial data path and pipeline design , we make some optimization for SRAM module and multiplication resource by the deep analysis of Mahalanobis distance calculation .

MP马氏距离虽然对任意数据集都存在，但其体现的数据相关性过于客观，可能导致信息错误和挖掘结果非常糟糕。

Although MP Mahalanobis distance exists in any data set , the data correlation embodied in it is too objective , which may lead to wrong information , even a bad results of data mining .

对于传递样本的选择，使用了基于马氏距离的Kennard-Stone样本选择方法。

A Mahalanobis distance based Kennard-Stone method is used for transfer samples selection .

根据实对称矩阵的谱分解理论以及加权Moore-Penrose逆，提出了WMP马氏距离。

According to the theory of spectral decomposition of the real symmetric matrix and the weighted Moore-Penrose inverse , we offer the WMP Mahalanobis distance .

结合经典的聚类算法进行了仿真分析，结果表明WMP马氏距离在体现数据相关性的准确性上有很大的提高。

After making simulation with classical clustering algorithms , the result shows that the accuracy of WMP Mahalanobis distance in reflecting data correlation has greatly improved . 4 .

在改进了复相关系数倒数赋权法后，将MP马氏距离应用于缺损数据补值，实验结果不仅验证了MP马氏距离的任意存在性，而且在准确性上也略优于马氏距离。

After improving the Multiple Correlation Coefficient , the MP Mahalanobis distance and entropy is used in missing data imputation . Simulation proves MP Mahalanobis distance not only exists in any data sets , but also has better accuracy than the Mahalanobis distance . 3 .

通过比较多种区域匹配方法，表明SAD、SSD、ZSSD、马氏距离等立体匹配方法均可以基本准确地反映出田间图像的视差信息，其中马氏距离方法可以获得最佳的视差图。

After comparing different stereo area matching methods , it was found that SAD , SSD , ZSSD , and MD could express the correct disparities ; furthermore , the MD method could produce the best disparity images .

提出了一种新的基于概率维度的不确定数据挖掘框架，并构造了它的实例，探讨了结合WMP马氏距离应用的相关研究方向。

We offer a new framework for uncertain data based on probability dimensions . We also construct an instance of it and analyze the aspect with combining the WMP Mahalanobis distance . 5 .

提出基于马氏距离的改进SPE指标，统一了其与T2的量度，改善了监控效果，并将其与T2合并组成一个综合指标，减少了过程监控量。

An improved SPE index is introduced based on Mahalanobis distance . It is consistent with the T2 index in measuring unit and enhances the monitoring performance . Furthermore , to reduce the monitoring workload , an overall index is developed by combining the improved index and T2 index .

引入马氏距离，以八叉树叶结点为匹配单元计算初始转换矩阵，并经ICRP算法逐步优化直至获得两视点的最佳配准。

Secondly , using mahalanobis distance , the leaf nodes were matched between two scans to compute original transform matrix , and the transform matrix was refined step by step through ICRP , until the best transform matrix was obtained .

基于马氏距离的隶属函数，给出了模糊统计特征值的计算公式，采用模糊统计方法对海洋平台管节点疲劳试验的结果进行统计分析，建立了P-S-N曲线。

According to the membership function based on the Mahalanobis distance , the equations of fuzzy eigenvalue were presented . P-S-N curves of tubular joints were established based on the analysis of a typical fatigue data set of joints with fuzzy statistical method .

针对近红外光谱具有数据量大的特点，论文采用主成分分析和偏最小二乘算法从光谱数据中抽取特征信息，应用模式识别方法（如SIMCA，马氏距离法），首先建立了线性定性分析模型。

The principal component analysis and partial least-squares are used to extract the relevant feature for modeling from the spectra , and then the pattern recognition methods ( such as SIMCA , Mahalanobis distance ) are applied to construct a linear qualitative model .

本文在分析赋权重马氏距离函数与传统马氏距离函数差异的基础上，提出了赋权重马氏距离MYT正交分解法，并将其应用于多元系统马氏田口异常值异常原因分析。

Based on the difference between weighted Mahalanobis distance function and traditional Mahalanobis distance function , Mason-Young-Tracy ( MYT ) orthogonal decomposition method of weighted Mahalanobis distance is put forward , and applied to potential causes analysis of multidimensional abnormal points .

基于马氏距离的飞行缺失数据估计方法

A Method of Flight Missing Data Estimation based on Mahalanobis Distance

基于马氏距离的缺失值填充算法

Missing value estimation for gene expression data based on Mahalanobis distance

一种基于马氏距离的线性判别分析分类算法

A Linear Discriminant Analysis Classification Algorithm Based on Mahalanobis Distance

一种基于马氏距离的支持向量快速提取算法

A fast algorithm for extracting the support vector on the Mahalanobis distance

一种基于马氏距离的模拟电路软故障检测算法

Algorithm Based on Mahalanobis Distance for Soft Faults Detection of Analog Circuits

基于马氏距离的动态限时协商模型研究

The Dynamic Time-limited Condition Negotiation Framework Based on Mahalanobis Distance

基于马氏距离的方体模型及其在病毒预警中的应用

Cuboid Model Based on Mahalanobis Distance and Its Application in Virus Detection

一种基于马氏距离建立简化多元统计模型的方法

An approach of building simplified multivariate statistical model based on Mahalanobis distance

基于马氏距离的皮肤图像症状识别系统的设计

Design of Auto-recognition System for Skin Symptom Image Based on Mahalanobis Distance

基于马氏距离的荔枝图像分割设计方法

Computer Program Based on the Mahalanobis Distance for Image Division of Lichee Pictures