BREAST CANCER CLASSIFICATION USING COMMITTEE MACHINES

摘要

Breast Cancer Classification has been approached by various machine-learning techniques for many years. This paper describes two committee machine based techniques for breast cancer classification. The committee machines are comprised of Support Vector Machines, which are very powerful and efficient for the classification of data. Comparison between the two techniques is presented with simulation results. A novel two=tier classification strategy for a committee machine is also proposed.