libpca c library online with Winfy

We have hosted the application libpca c library in order to run this application in our online workstations with Wine or directly.

Quick description about libpca c library:

libpca is a C++ library for principal component analysis and related transformations. It comes with example and unit tests. libpca is successfully tested on Linux and MacOSX using g++ (>=4.6), clang++ (>=3.2), and icc (>=14.0).

libpca requires Armadillo (>=3.2.4) which can be obtained as a pre-compiled package on most distributions or directly from http: //arma.sourceforge.net.

libpca is being developed by Christian Blume. Contact Christian at [email protected] for any questions or comments.

Features:

• computes a principal component analysis
• computes energy, eigenvalues, eigenvectors, principal components
• option to normalize the data matrix
• option to bootstrap the eigenproblem to obtain uncertainty estimates of energy and eigenvalues
• methods to project data records to the space of principal components and back
• method to reduce the number of eigenvectors affecting the data record projections
• methods to check the accuracy of the solution to the eigenproblem
• methods to save and load pca properties to and from files
• pca offers a standard C++ interface using not more than primitive types, std: : string, and std: : vector
• libpca comes with example and unit tests
• a great deal of libpca runs in parallel thanks to Armadillo

Audience: Developers.

Programming Language: C++.

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