In this R tutorial we will analyze data from the Wisconsin breast cancer dataset. The k-NN algorithm will be implemented to analyze the types of cancer for diagnosis. Nearest Neighbor is defined by the characteristics of classifying unlabeled examples by assigning then the class of similar labeled examples (tomato – is…
K Nearest Neighbors Algorithm
-
-
Python Machine Learning
Breast Cancer Prediction using k-Nearest Neighbors Algorithm in Python
by John Wingateby John WingateIn this Python tutorial, we will analyze the Wisconsin breast cancer dataset for prediction using k-nearest neighbors machine learning algorithm. The Wisconsin breast cancer dataset can be downloaded from our datasets page. K-Nearest Neighbors Algorithm k-Nearest Neighbors is an example of a classification algorithm. These algorithms are either quantitative or qualitative…