pca
Dimension reducer
Tool for reducing dimensionality of data by identifying and preserving the most informative directions.
Principal component analysis
98 stars
17 watching
21 forks
Language: TypeScript
last commit: 4 months ago hacktoberfest
Related projects:
| Repository | Description | Stars |
|---|---|---|
 vyraun/half-size | An algorithm to reduce word embeddings to a specified size while maintaining performance | 129 |
 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 |
 dlaptev/robustpca | A Matlab implementation of Robust Principal Component Analysis (PCA) with an ADMM optimization method for matrix factorization. | 199 |
| mljs/savitzky-golay | A filter implementation for smoothing and differentiating data | 34 |
 rastapasta/tileshrink | Tool to simplify vector tile features in an MBTiles container by reducing their size and complexity. | 31 |
| mljs/array | Functional utilities to transform and compute stats on arrays | 16 |
 helloyaozhang/face-recognition-using-pca | An implementation of Principal Components Analysis algorithm in MATLAB for facial recognition | 56 |
 epierson9/zifa | An algorithm for dimensionality reduction in single-cell data with applications in genomics and bioinformatics | 108 |
 andylamp/federated_pca | An algorithm for performing dimensionality reduction on decentralized data with differential privacy guarantees | 39 |
 pachterlab/pcca | A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods. | 18 |
 wildart/manifoldlearning.jl | A package for performing nonlinear dimensionality reduction and manifold learning techniques. | 92 |
| mljs/distance | A set of distance functions for comparing vectors in various mathematical metrics | 68 |
 trendscenter/gift | Software toolkit for analyzing functional MRI data using independent component analysis and blind source separation | 77 |
 benmarwick/interactive_pca_explorer | An interactive R Shiny application for exploring and visualizing Principal Component Analysis (PCA) results. | 52 |
 juliastats/multivariatestats.jl | A comprehensive Julia package for multivariate statistical analysis and data reduction techniques. | 379 |