View License

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video

Highlights from
IPN_voxelGraph

Join the 15-year community celebration.

Play games and win prizes!

» Learn more

5.0
5.0 | 1 rating Rate this file 3 Downloads (last 30 days) File Size: 2.87 KB File ID: #32553 Version: 1.0
image thumbnail

IPN_voxelGraph

by

 

Functions to Generate Large Correlation Matrix and Sparse Matrix of Huge Graph.

| Watch this File

File Information
Description

1) How to compute a Pearson correlation coefficient in MATLAB? The idea is a simple fact in math: for two standardized variables (0 mean and 1 std), the correlation is equivalent to their inner product. Thus, for two large sample matrices X and Y, the sample correlation matrix is R=X'Y/(n-1), where n is the number of samples.
2) How to build a sparse matrix for a huge graph (e.g., 100,000 nodes) based on massive samples? Using the above code of computing fast correlation, together with an idea of dividing the sample matrix into several blocks, the task becomes pretty easy and efficient in MATLAB.

MATLAB release MATLAB 7.8 (R2009a)
Tags for This File   Please login to tag files.
Please login to add a comment or rating.
Comments and Ratings (1)
11 Apr 2012 RED STONE  

Contact us