A hybrid approach based on decision trees and clustering for breast cancer classification

H Elouedi, W Meliani, Z Elouedi… - 2014 6th International …, 2014 - ieeexplore.ieee.org
H Elouedi, W Meliani, Z Elouedi, NB Amor
2014 6th International Conference of Soft Computing and Pattern …, 2014ieeexplore.ieee.org
This paper proposes a hybrid diagnosis approach of breast cancer based on decision trees
and clustering. Our proposed approach does not only assume distinguishing malignant from
benign cases, but also makes a refined treatment of these latter. Experimental study on
Wisconsin Breast Cancer Database provides a thorough analysis of the induced results and
shows that we can enhance the classification results by distinguishing different types of
Breast Cancer using a clustering technique.
This paper proposes a hybrid diagnosis approach of breast cancer based on decision trees and clustering. Our proposed approach does not only assume distinguishing malignant from benign cases, but also makes a refined treatment of these latter. Experimental study on Wisconsin Breast Cancer Database provides a thorough analysis of the induced results and shows that we can enhance the classification results by distinguishing different types of Breast Cancer using a clustering technique.
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