# Principal Components Analysis (PCA)

### Principal components analysis in clinical studies

**analysis**, independent variables are usually correlated to each other which can introduce multicollinearity in the regression ...apply

**principal**

**components**

**analysis**(PCA) over ...

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### Functional Principal Components Analysis with Survey Data

**principal**

**components**

**analysis**when the curves are collected with survey sampling strategies. Let us note that Skinner et al. (1986) have ...

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### Unsupervised Feature Selection for Principal Components Analysis

**Principal**

**Components**

**Analysis**(PCA) is the predominant linear dimensionality reduction technique, and it has been widely applied on datasets in all scientific domains, from the social ...

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### Phylogenetic Principal Components Analysis and Geometric Morphometrics

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### Application of Principal Components Analysis Results in Visual Network Analysis

**principal**

**components**

**analysis**could be used as a preprocessor for further ...network

**analysis**and their role in simplifying the large data ...

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### Correctness results for on-line robust principal components analysis

**principal**

**components**

**analysis**(PCA). At each time t, suppose that a vector m t = ` t + x t is observed. The vectors ` t lie in a slowly ...

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### Initial results of multilevel principal components analysis of facial shape

**principal**

**components**

**analysis**(PCA). Multilevel

**principal**

**components**

**analysis**(PCA) allows one to model between- group effects and within-group effects ...

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### Detecting Anomalies in VoIP traffic usign Principal Components Analysis

**Principal**

**components**

**analysis**Typical datasets for intrusion detection are typically very large and ...as

**Principal**Component

**Analysis**(PCA) [3335] ...first

**principal**component ...

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### Principal Components Analysis a method Useful in Identification of Clusters of Variables

**analysis**, varimax rotation, Likert ...space.

**Principal**

**components**

**analysis**(PCA) does this by identifying the linear combinations sequentially such that the first linear combination of ...

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### Sample size and subject to item ratio in principal components analysis

**components**(3, 6, 9, 18), the number of variables (36, 72, 108, and 144), average item-component correlation ...in

**principal**

**components**...PCA

**analysis**, and second, the factor loading ...

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### Testing spatial heterogeneity in geographically weighted principal components analysis

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### What Are Principal Components Analysis and Exploratory Factor Analysis?

**principal**

**components**

**analysis**(with varimax rotation) describes the relationships among 16 purported reasons for studying Korean with four broader ...a

**principal**

**components**...

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### Integrating Data Transformation in Principal Components Analysis

**principal**

**components**

**analysis**/functional

**principal**

**components**...performing

**principal**

**components**

**analysis**together with data ...

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### Principal Components Analysis of Acacia burkei and A. nigrescens in Natal

**principal**component analyses were carried out to study the perplexing relations within Acacia burkei ...of

**principal**

**components**

**analysis**was most useful in this ...

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### Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation

**Principal**

**components**

**analysis**is an important and well-studied subject in ...

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### Principal components analysis of reward prediction errors in a reinforcement learning task.

**components**coding for unsigned prediction error size, or “salience”, which are sensitive to the absolute size of a prediction error but not its ...with

**principal**

**components**

**analysis**used ...

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### A tutorial on Principal Components Analysis

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### Principal Components Analysis of Discrete Datasets

**principal**

**components**. However, we cannot apply PCA directly on the this kind of data. As is discussed ...

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### Nonparametric time dependent principal components analysis.

**principal**component

**analysis**is as a data reduction ...leading

**principal**

**components**to collapse the dimensionality of the ...component

**analysis**provides a method for assessing ...

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### Permutation validated principal components analysis of microarray data

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