Determination of breast health using the methods of k-nearest neighbourhood with entropy and angular moment combination

The method of determining the health of the breast using a combination of K-Nearest Neighbourhood, entropy and angular moment had investigated in this research. This grouping using K-Nearest Neighbourhood, which depends on the value of entropy and angular moment. In previous studies the physical quantities are used to detect the type of histopathology and the breast cancer stadium using logistic multinomial methods. In this study, we have used a combination of methods K-Nearest Neighbourhood with entropy and angular moment as input. The approximation propositions has been tested on 200 mammograms. The method combinations of K-Nearest Neighbourhood with entropy and angular moment as input can be determining the breast health on the 88.5% sensitivity are resulted.