Search Results for "matlab code for pca"

The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent, packaged...

... (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry.

A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.

This repository is a personal archive of Octave exercises and assignments for the 2011 Stanford Machine Learning class. The author uses the Octave programming environment (which is similar to MATLAB) to implement the homework assignments (ex1 through ex7), providing code solutions, cheat sheets, and scratch files. Octave / MATLAB code illustrating algorithms taught in the class. Cheat sheet for Octave / MATLAB commands. Readme and licensing information. Octave / MATLAB code illustrating...

IDL2Matlab is an Automatic translation tool from an IDL program into Matlab and Scilab code. We do not guaranty a 100% conversion efficiency.

.... fPotencia is programmed in C++, but my intention is to bring JAVA, C#, Python and perhaps MATLAB versions of it. All of them in native code and whenever possible with the same modular structure.

Matlab code for the novel algorithms presented in the paper Convex formulation for radius-margin based Support Vector Machines