KPCA-MATLAB
KPCA tool
An implementation of Kernel Principal Component Analysis for dimensionality reduction and fault detection in MATLAB.
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
235 stars
10 watching
80 forks
Language: MATLAB
last commit: almost 3 years ago
Linked from 1 awesome list
dimensionality-reductionfault-detectionfault-diagnosiskpca
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mljs/pca | Tool for reducing dimensionality of data by identifying and preserving the most informative directions. | 97 |
 xiaoyang-rebecca/patternrecognition_matlab | An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. | 71 |
| iqiukp/zoomplot-matlab | Interactive plotting and zooming tool for MATLAB | 344 |
 dlaptev/robustpca | A Matlab implementation of Robust Principal Component Analysis (PCA) with an ADMM optimization method for matrix factorization. | 196 |
 kosyoshida/tskcca | A Matlab implementation of two-stage kernel canonical correlation analysis for feature selection and multiple component capture in machine learning | 6 |
 trendscenter/gift | A software tool for analyzing functional magnetic resonance imaging (fMRI) data using independent component analysis and blind source separation algorithms | 71 |
 helloyaozhang/face-recognition-using-pca | An implementation of Principal Components Analysis algorithm in MATLAB for facial recognition | 56 |
 andylamp/federated_pca | An algorithm for performing dimensionality reduction on decentralized data with differential privacy guarantees | 38 |
 rulixiang/changedetectionpcakmeans | This MATLAB implementation detects changes in various types of land cover in satellite images using PCA and k-Means clustering | 76 |
 stephenbeckr/fastrpca | Matlab code implementing variants of robust PCA and SPCP algorithms | 116 |
 pachterlab/pcca | A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods. | 18 |
 mstorath/pottslab | A toolbox for unsupervised multilabel image segmentation using the Potts model. | 109 |
 steven2358/kmbox | A collection of MATLAB programs implementing kernel-based algorithms for nonlinear signal processing and machine learning. | 52 |
 hwang64/mlkp | A method for compactly representing object proposals in object detection using high-order statistics | 107 |
 pkunlp-icler/pca-eval | An open-source benchmark and evaluation tool for assessing multimodal large language models' performance in embodied decision-making tasks | 100 |