kpca
There are 18 repositories under kpca topic.
iqiukp/KPCA-MATLAB
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
Xiaoyang-Rebecca/PatternRecognition_Matlab
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
ChenHongruixuan/KPCAMNet
[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
saeedghoorchian/Dimensionality-Reduction-Using-KPCA
Application of PCA and KPCA algorithms to perform dimensionality reduction on the set of parameters in LPV models
sylvaincom/anomaly-detection-PCA
Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.
Arminkhayati/Machine_learning_lec
My Machine Learning course projects
juanmbellini/face_shazam
First Advanced Numerical Methods
lobo/mna-tp1
Advanced Numerical Methods Project: Face Recognition
o-ikne/Data-Science-Mini-Projects
Data science Mini projects
Adamantios/KPCA-LDA
KPCA and LDA implementations.
aditijoshi613/Patient-Survival-Prediction
Classification model for predicting whether a patient is at risk of death during hospitalization
chus-chus/kernelPCA
A mathematical analysis and implementation of kernel PCA 🤖
ToshihiroIguchi/dr
Dimensionality reduction
andersonpaac/Creddit
cReddit: Misinformation Assessment Tool for Comments from Reddit
Nachiket-Bhide/Masters-Thesis-Research-Work
This repository contains all program files and datasets used in implementation of Masters Thesis Research Work for the topic - "Efficient Clustering via Kernel Principal Component Analysis and Optimal One Dimensional Clustering".
SarraLKSC/LINMA2472
LINMA2472: Algorithms in Data Science
agaitanis/msc_ci
Projects for MSc course: Computational Intelligence and Statistical Learning