High-Dimensional Data Classification Based on Principal Component Analysis Dimension Reduction and Improved BP Algorithm

DEStech Transactions on Computer Science and Engineering

doi 10.12783/dtcse/cnai2018/24195

Full Text

Abstract

Available in

Date

July 12, 2018

Authors

Publisher

DEStech Publications

Related search

An Improved Wavelet Denoising Algorithm Based on Principal Component Analysis

DEStech Transactions on Computer Science and Engineering

English

Principal Component Analysis for Sparse High-Dimensional Data

Lecture Notes in Computer Science

Computer Science

Theoretical Computer Science

English

Improved Manifold Learning Algorithm for Data Dimension Reduction Based on KNN

English

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Pattern Recognition

Applied Mathematics

Computer Vision

Computational Theory

Artificial Intelligence

English

Dimensionality Reduction of High-Dimensional Data With a NonLinear Principal Component Aligned Generative Topographic Mapping

SIAM Journal of Scientific Computing

Computational Mathematics

Applied Mathematics

English

The Effect of Principal Component Analysis on Machine Learning Accuracy With High Dimensional Spectral Data

English

A Depth-Based Nearest Neighbour Algorithm for High Dimensional Data Classification

Turkish Journal of Electrical Engineering and Computer Sciences

Electronic Engineering

Computer Science

English

Wavelet Kernel Principal Component Analysis in Noisy Multiscale Data Classification

ISRN Computational Mathematics

Italian

Analysis on Energy Conservation and Emission Reduction for Electricity Consumers Based on Principal Component Analysis

English