GitHub

Titanic Dataset Analysis using PCA and Apriori Algorithm

This analysis utilizes Principal Component Analysis (PCA) to reduce the dimensionality of the Titanic dataset. PCA is a dimensionality reduction technique that extracts important features while ...
GitHub

pca-algorithm

This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important ...
IEEE

Research on Distributed Parallel Dimensionality Reduction Algorithm Based on PCA Algorithm

Abstract: PCA algorithm is a typical data dimensionality reduction method, which projects high-dimensional data to a lower-dimensional space to obtain a low-dimensional data set that can maximally ...
Scientific Research Publishing

Power Quality Data Compression Based on Iterative PCA Algorithm in Smart Distribution Systems ()

To reduce the stress of data transmission and storage for power quality (PQ) in smart distribution systems and help PQ analysis, a multichannel data compression based on iterative PCA (principal ...