Diagnosis of Breast Cancer Based on the Method of Fuzzy Clustering
Han Xi · Journal of Institute of Command and Technology · 2002
In this paper, the problem of discriminating classification of breast tumor is studied. The statistical and quantization characteristic of 10 variables in the micro\|image of the 500 cell\|cores with known nature is analyzed. The method of fuzzy clustering is used. And the discriminating modeling of fuzzy clustering is established. During the course, the discriminating curve of threshold value is given. And based on the optimizing dividing point, the discriminating threshold value is obtained. Finally, the tumor of unknown nature is diagnosed and its feature is determined. The example indicates that the probability of mis\|discrimination is 6.2%.