Abstract
The problem of organizing a large mass of data occurs frequently in research. Normally, some process of generalization is used to compress the data so that it can be analyzed more easily. A primitive step in this process is the clustering technique, which involves gathering together similar data into a cluster to permit a significant generalization. This paper describes a number of methods which make use of IBM 7090 computer programs to do clustering. A medical research problem is used to illustrate and compare these methods.
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