Description: kMeansCluster - Simple k means clustering algorithm
Author: Kardi Teknomo, Ph.D.
Purpose: classify the objects in data matrix based on the attributes
Criteria: minimize Euclidean distance between centroids and object points
For more explanation of the algorithm, see http://people.revoledu.com/kardi/tutorial/kMean/index.html
Output: matrix data plus an additional column represent the group of each object
To Search:
File list (Check if you may need any files):
kMeansCluster.m
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