Results: Precise classification of 18 samples was done by cluster analysis and mahalanobis distance analysis.
结果：利用聚类分析对18个样本分类结果准确。
A imputation method based on Mahalanobis distance was proposed to estimate missing values in the gene expression data.
提出了一种基于马氏距离的填充算法来估计基因表达数据集中的缺失数据。
In the matching phrase normalized distance and Mahalanobis distance are used to identify the view class and build the affine matrix.
匹配阶段分别采用归一化距离和马氏距离作为视类判定和仿射矩阵建立的依据。
The properties of Mahalanobis range are discussed in this paper . A Recognition method of radar target is proposed using range profile.
讨论了马氏距离的性质，利用目标的一维距离像，提出了一种雷达目标识别方法。
The properties of Mahalanobis range were discussed in this paper. A Recognition method of radar target was proposed using range profile.
讨论了马氏距离的性质，利用目标的一维距离像，提出了一种雷达目标识别方法。
Achieve canonical correlation analysis, for time-frequency analysis algorithm, Using matlab to calculate the Mahalanobis distance for the image.
实现典型相关分析，用于时频分析算法，利用matlab针对图像进行马氏距离计算。
The Mahalanobis distances can deal with the issue of correlation-sensitive on density, and the gray-analysis method can deal with the opposite case.
其中马氏距离能解决密度相关明显的数据集，灰色分析方法能处理密度相关不明显的情况。
In the stage of construction and optimization of the measurement scale, traditional Mahalanobis distance function with the same weights for every variable is adopted.
在建立与优化多元测量表阶段，应采用传统的指标等权重马氏距离函数。
MEGHNAD DESAI: And at that time, Mahalanobis's model was hailed as one of the pioneering mathematical models for planning a mixed economy. And that made Mahalanobis very influential.
那时分马哈拉诺比斯的模型作为为混合经济体例计划的守旧模型遭到尊崇，而马哈拉诺比斯也因此而非常有影响力。
NARRATOR: Nehru asked Mahalanobis to think about how to plan an economy. The brilliant Mahalanobis succeeded in expressing the entire Indian economy in a single mathematical formula.
旁白：尼赫鲁请求马哈拉·诺比斯考虑如作甚经济体例计划。这位才华横溢的马哈拉诺比斯成功地将整个印度经济用一个数学雄式表示出来。
The mapped algorithm, called the Mahalanobis distance, handles about 50% of its computational load in the overall speech recognition algorithm using a continuous hidden Markov model(CHMM).
将基于连续隐含Markov模型语音识别算法中占系统总运算量的50%以上的Mahalanobis距离 计算，映射为硬件实现的 模块。
A modification on Mahalanobis distance on samples of limited size by compensation for errors of non-dominant eigenvalues and asymmetrical distribution on dominant principle components is proposed.
本文提出了一种有限样本集上基于次特征值误差补偿和优势主向量上非对称分布的马氏距离改进算法。
A modification on Mahalanobis distance on samples of limited size by compensation for errors of non-dominant eigenvalues and asymmetrical distribution on dominant principle components is proposed.
本文提出了一种有限样本集上基于次特征值误差补偿和优势主向量上非对称分布的马氏距离改进算法。
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