Efficient K-Means Clustering using JIT (Scripts) Publisher's description
from Yi Cao
This is a tool for K-means clustering.
This is a tool for K-means clustering. After trying several different ways to program, I got the conclusion that using simple loops to perform distance calculation and comparison is most efficient and accurate because of the JIT acceleration in MATLAB.
The code is very simple and well documented, hence is suitable for beginners to learn k-means clustering algorithm.
Numerical comparisons show that this tool could be several times faster than kmeans in Statistics Toolbox.
System Requirements:MATLAB 7.5 (R2007b)
Program Release Status: New Release
Program Install Support: Install and Uninstall