A lean C++ library for working with point cloud data

H2Oai GPU Edition

Efficient similarity search and clustering for Ruby

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)

A RTI library for creating and visualizing Reflectance Transformation Imaging

Fast, Accurate and Memory-Efficient Principal Component Analysis For Tera-scale Dataset

quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.

Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings

Object recognition and 6 DoF pose estimation.

Python and C/C++ library for fast, accurate PCA on the GPU

Machine learning library for classification tasks

MODE-TASK plugin for PyMOL

Fast EM algorithm for a Probabilistic PCA model for Genotype data

[ppca-cpp] Probabilistic PCA (PPCA) with missing-data support — fast C++ core, clean Python API.

OpenCV4 Capture Utility

Encoder using magnetometer on Arduino nano 33 BLE

An ITK-based implementation of principal components analysis. A more detailed description can be found in the Insight Journal article: Bowers M., Younes L. ''Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data.'' August, 2013.

Implementation of randomized PCA using Intel MKL

C++ problem solving

Principal component analysis for 2D points