main webpage W Topic Principal Component Analysis Applied Mathematics and Nonlinear Sciences • Vol 9 • No 1 An Exploration of the Application of Principal Component Analysis in Big Data Processing 2024 Abstract With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data process… Article Open Principal Component Analysis Open Article Page

Principal Component Analysis

Method of data analysis Principal component analysis ( PCA ) is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and enabling the visualization of multidimensional data. Formally, PCA is a statistical technique for reducing the dimensionality of a dataset. This is accomplished by linearly transforming the data into a new coordinate system where (most of) the variation in the data can be described with fewer dimensions than the initial data. Many studies use the first two principal components in order to plot the data in two dimensions and to visually identify clusters of closely related data points. Critical Symbolic Virtual Narrative Open Principal Component Analysis Open Article Page

Exploring foci of: Applied Mathematics and Nonlinear Sciences • Vol 9 • No 1 An Exploration of the Application of Principal Component Analysis in Big Data Processing 2024 Abstract With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data processing, especially in information extraction and data simplification, showing unique advantages. The research aims to simplify the data processing process and improve the data processing efficiency by PCA method. The research method adopts the basic theory of PCA… Open Article Page

Click Principal Component Analysis Vs: Computer Science Data Mining Big Data Artificial Intelligence Database Engineering Biology Performance Indicator Operations Management Open Article Page

Click Principal Component Analysis Vs: Neuroscience Open Article Page

Explore Principal Component Analysis W Topic Principal Component Analysis Applied Mathematics and Nonlinear Sciences • Vol 9 • No 1 An Exploration of the Application of Principal Component Analysis in Big Data Processing 2024 Abstract With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data process… Article Critical Symbolic Virtual Narrative Open Principal Component Analysis Open Article Page