A lean C++ library for working with point cloud data
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Updated
Aug 15, 2023 - C++
A lean C++ library for working with point cloud data
H2Oai GPU Edition
R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)
quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.
Python and C/C++ library for fast, accurate PCA on the GPU
Efficient similarity search and clustering for Ruby
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.
Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings
Generic C++17 library for distributed scientific computing (HPC)
Object recognition and 6 DoF pose estimation.
Ultra-Fast Principal Component Analysis All in One
Principal component analysis for 2D points
A graphical software for interactive rotational factor analysis and visualization of two-way data, mainly intended for vibrational spectra.
MODE-TASK plugin for PyMOL
Visualize various feature value distribution
EDAMER: Exascale Data Analysis Methods with Enhanced Reusability
Projeto Curricular Articulador - UnigranRio 2018.2
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