The classification and clustering of medical data by graph partitioning method

In the todays world known as ?knowledge age?, to get the important data from the large database with complex formats and to use them for utility it is made by procedure of datamining. Because of the increasing of data amount in the departments of Computer Engineering and Bioengineering, it is difficult to get the utility knowledge by specialist. For this, it is very important the collection of data or the accurate sensation of signal for the accumulation of data, the classification and clustering of data in the appropriate form, by analysis the multi-dimensional togetherness relationship.In this study, it is built up a calculation method based on linear algebra for ?the classification and clustering of medical data by graph partitioning method? and it is used the data mining for the evaluation of this method.The graph partritioning method has been discovered to the faciliation of solution of some scientific problems especially the classification and clustering of medical data.For this reason, it is very important to develop this method (the analysing and testing of graphs).The most important attribute of this study is to give applications for the classification and clustering of medical data by graph partitioning method.