. Once the clustering is complete, use the class labels to evaluate the accuracy of the clustering algorithm that you chose.

For this exercise, you need to work with the breast cancer Coimbra dataset. First download the dataset from OA 5.8 and load the data. The dataset has 10 features including the class labels (1 or 2). Next, you need to round off the Leptin feature values to two decimal places. Having done that, use the first nine attributes (dataset minus the class label) to group the data points into two clusters. You can use any clustering algorithm of your choice, but the number of clusters should remain the same. Once the clustering is complete, use the class labels to evaluate the accuracy of the clustering algorithm that you chose.

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