In this project, we have a dataset that shows 30 features for each breast sample and also the truth dataset demonstrates whether the samples are malign or benign. With these datasets we implement a source code that makes two accurate clusters by applying k-means algorithm and predicts the results. After the predictions are completed, algorithm compares it with truth dataset and finds an accuracy ratio.