Abstract
The main objective of the research is to early diagnosis of the breast cancer patients. Nowadays Brest cancer becomes very major disease in many women not only in India but also in other country. For early diagnosis of the breast cancer patients, clustering data mining algorithm used to detect breast cancer. For the experimental purpose breast cancer dataset carried out form the UCI web data repository. The selection of appropriate clustering data mining technique is a challenge for the diagnosis of breast cancer. To get early result the challenges takes four clustering data mining techniques. This research becomes very helpful to doctor for diagnosis breast cancer and also helpful to patients for early treatment.
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CITATION STYLE
Joshi, J., Doshi, R., & Patel, J. (2014). Diagnosis of Breast Cancer using Clustering Data Mining Approach. International Journal of Computer Applications, 101(10), 13–17. https://doi.org/10.5120/17722-7611
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