Can I read K-Means Clustering on Breast Cancer Data on EtoBox?

K-Means Clustering on Breast Cancer Data by someshsomu7704 is a document available to read on EtoBox.

What is K-Means Clustering on Breast Cancer Data about?

The document outlines a program that implements k-means clustering on the Wisconsin Breast Cancer dataset, utilizing libraries such as NumPy, pandas, and scikit-learn. It includes data scaling, clustering, and visualization using PCA to display the clustering results and true labels. The output features a confusion matrix and classification report, indicating a high accuracy of 91% for the clustering model.

Author

someshsomu7704

Language

EN