Description: Shortest distance clustering algorithm for clustering the sample matrix X Sample rows output data represents the number of classes after each cluster, the first number in each row such that the number of samples, behind algebraic expressions such samples in number output from the program results, the clustering process at a glance, not before clustering have five classes, each have a sample clustering is first the first and second categories were combined to give new first class, this time the first class has two samples two second cluster is the third and fourth categories were combined to give a new third Class 3rd clustering is Category 2 and Category 3 merger, this time a total of two classes, after the fourth cluster, into a number of classes, clustering process is now complete.
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