• Raza Mohsin
• Ramesh Kumar
• Pradip Kumar Yadav

Indian ladies are most at risk for breast cancer, as it accounts for 27% of all females cancers. One woman out of 28 will be infected with breast cancer during their lifetime. the occurrence of cancer is 1 out of 22, with the incidence in urban regions being 1 out of 60. It's one of the most widely recognized diseases among ladies and also one of the leading causes for malignant growth in women after lung cancer. In this proposed work, the goal is to improve the detection and classification of breast cancer. Breast cancer occurs when cells start developing too much, which leads to a malignant growth. A Median Filter can be used to clean an image and scrutinize it more closely. The Median Filter method is a way to clear the noise in images during analysis. This helps with better examination of the image. After Image segmentation, the image is classified using a k-Means approach to determine breast cancer. The results are better than existing approaches and promising for the future.

Breast Cancer Detection , Machine Learning, Median Filter , K-Means, Gaussian mixture model.

"Machine Learning Approach for Breast Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.k271-k277, June-2022, Available :http://www.jetir.org/papers/JETIR2206A36.pdf

"Machine Learning Approach for Breast Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppk271-k277, June-2022, Available at : http://www.jetir.org/papers/JETIR2206A36.pdf