What is the translation of " 因子分析 " in English?

• factor analysis

Examples of using 因子分析 in Chinese and their translations into English

法院可以在其因子分析中考虑你的任何言论或行为。
Courts may consider any words or deeds in their factor analysis.

因子分析可以看成是主成分分析的一种推广。
Factor analysis can be considered as an extension of principal components analysis..

因子分析可在许多变量中找出隐藏的拥有代表性的因子。
Factor analysis can find the hidden representative factor in many variables.

数据挖掘决定树学习因子分析核函数费舍尔判别分析逻辑回归多维标度模式识别感知偏好回归二次分類器.
Data mining Decision tree learning Factor analysis Kernel Fisher discriminant analysis Logit(for logistic regression) Multidimensional scaling Pattern recognition Perceptron Preference regression Quadratic classifier.

另一方面，PCA不考虑类的任何不同，因子分析是根据不同点而不是相同点来建立特征组合。
PCA, in contrast, does not take into account any difference in class, and factor analysis builds the feature combinations based on differences rather than similarities.

心理学家已经使用诸如因子分析之类的方法来尝试将情感相关的反应映射到更有限数量的维度上。
Psychologists have used methods such as factor analysis to attempt to map emotion-related responses onto a more limited number of dimensions.

LDA也与主成分分析（PCA）和因子分析紧密相关，它们都在寻找最佳解释数据的变量线性组合。
LDA is also closely related to principal component analysis(PCA) and factor analysis in that they both look for linear combinations of variables which best explain the data.

语义差异使用因子分析来确定单词的主要含义，发现单词的价值或“善”是第一因素。
The semantic differential used factor analysis to determine the main meanings of words, finding that value or"goodness" of words is the first factor..

因子分析(Factoranalysis)可以产生与PCA类似的components(thecolumnsofitsloadingmatrix)。
Factor analysis can produce similar components(the columns of its loading matrix) to PCA.

各种降维技术包括多维缩放和因子分析，最初是在心理测量学研究的背景下开发的。
Various dimensionality reduction techniques including multi-dimensional scaling and factor analysis, were originally developed in the context of psychometrics research.

我们对中产阶级和下层阶级的调查对象就这两个问题给出的答案进行了因子分析。
We ran a factor analysis of the responses given by both middle- and lower-class respondents to the two questions.

此外，主成分分析（PCA）通常通常与因子分析相关。
Furthermore, Principal Component Analysis(PCA) is often usually associated with factor analysis.

总体上，原有变量的信息丢失较少，因子分析效果较理想。
Overall, the original variable information loss is less so the factor analysis results are reasonable.

我们对两个阶级就这两个问题给出的回答进行了因子分析。
A factor analysis was conducted of the responses to these two questions by both classes.

而当KMO统计量在0.5以下时,不适合应用因子分析法。
When the KMO statistic is below 0.5, factor analysis is not suitable at this time.

这两组问题首先应用于198名本科生，然后进行因子分析。
These two sets of questions were first administered to 198 undergraduate students and a factor analysis was then conducted.

一些多元分析，如因子分析和多元方差分析，假定数据服从多元正态分布。
Some multivariate analyses, such as factor analysis and MANOVA, assume that the data follow a multivariate normal distribution.

因子分析相对于PCA的主要优势是它可以在输入空间的每一个方向上独立的对方差进行建模(heteroscedasticnoise).
The main advantage for Factor Analysis over PCA is that it can model the variance in every direction of the input space independently(heteroscedastic noise).

因子分析(PCA)的主要优点是可以独立地对输入空间的每个方向（异方差噪声）的方差进行建模.
The main advantage for Factor Analysis over PCA is that it can model the variance in every direction of the input space independently(heteroscedastic noise).

就信息风险因子分析（FAIR）模型而言，风险是未来损失的可能程度和可能频率。
According to Factor Analysis of Information Risk(FAIR), risk is the probable frequency and probable magnitude of future loss.

因子分析的主要应用有两个方面：1是减少分析变量个数；.
The main application of factor analytic techniques are: 1. to reduce the number of variables and 2.

几种广泛使用的方法是线性高斯模型的例子，例如概率主成分分析，因子分析，以及线性动态系统（RoweisandGhahramani,1999）。
Several widely used techniques are examples of linear-Gaussian models, such as probabilistic principal component analysis, factor analysis, and linear dynamical systems(Roweis and Ghahramani, 1999).

Tanagra包含一些监督学习，但也包括其他范例，如聚类，因子分析，参数和非参数统计，关联规则，特征选择和构建算法。
Tanagra contains some supervised learning but also other paradigms such as clustering, factorial analysis, parametric and non-parametric statistics, association rule, feature selection and construction algorithms.

但是，因子分析结果还是具有较大主观性。
The analysis of the results is much more subjective.

使用验证性因子分析对6个竞争性模型进行检验。
A confirmatory factor analysis was used to examine six competing structural models.

在经典的因子分析中，你可以尝试依据一组隐藏因子来解释每部电影及用户。
In classical factor analysis, you could then try to explain each movie and user in terms of a set of latent factors..

下面是一个简单因子分析的输出的例子，其中包括财富指标，只有六个变量和两个因素。
Here is an example of the output of a simple factor analysis looking at indicators of wealth, with just six variables and two resulting factors..

然后，使用一种称为因子分析的统计技术，他确定了密切相关的术语，并最终将他的名单减少到16个关键的个性特征。
Then, using a statistical technique known as factor analysis, he identified closely related terms and eventually reduced his list to just 16 key personality traits.

评价一个人性格的标准方法之一是分析一个人对一项调查问卷中100个问题的答案，用的是一种叫因子分析（factoranalysis）的统计方法。
One of the standard methods for assessing personality is to analyze people's answers to a 100-item questionnaire with a statistical technique called factor analysis.