而模糊聚类算法则准确地完成对样本的分类任务。
Fuzzy clustering algorithm was used to classify the faults samples correctly.
本文中的主要统计方法为描述性统计分析，单因素方差分析和成对样本T检验。
The statistical techniques employed for analysis are descriptive statistics, one-way ANOVA, and paired-samples T-tests.
用成对样本t检验法比较同一无性系内两种外植体的差异用成组样本t检验法比较两组无性系间的差异。
Paired sample t test method was used to compare the difference between the two explants of the same trees. Independent sample t test method was used to determine the difference between the two groups.
半监督聚类通过利用少量有标号样本或成对约束等监督信息来提高聚类性能。
Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.
在人脸图像的预处理阶段，本文主要完成对人脸样本的图像增强、几何及灰度归一化工作。
The preprocessing mainly focuses on image enforcement, geometry normalization of face images, image intensity normalization.
在人脸图像的预处理阶段，本文主要完成对人脸样本的图像增强、几何及灰度归一化工作。
The preprocessing mainly focuses on image enforcement, geometry normalization of face images, image intensity normalization.
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