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Cargo.toml

# k-nn classifier This is a library for solving classification problems using the k-nearest neighbor (k-nn) algorithm. Due to the simplicity of the algorithm, it is lightweight and well-suited for easily solving classification problems. ## Install ```sh cargo add knn_classifier ``` ## Simple Example The following sample is a program that determines if a person is of normal weight or fat, based on their height(cm) and weight(kg). ```rs use knn_classifier::KnnClassifier; fn main() { // Create the classifier let mut clf = KnnClassifier::new(3); // Learn from data clf.fit( &[&[170., 60.], &[166., 58.], &[152., 99.], &[163., 95.], &[150., 90.]], &["Normal", "Normal", "Obesity", "Obesity", "Obesity"]); // Predict let labels = clf.predict(&[&[159., 85.], &[165., 55.]]); println!("{:?}", labels); // ["Fat", "Normal"] assert_eq!(labels, ["Obesity", "Normal"]); } ``` ## Support CSV format The classifier can be converted to and from CSV format. ```rs // Convert Data to CSV let s = clf.to_csv(','); println!("{}", s); // Convert from CSV clf.from_csv(&s, ','); // Predict one let label = clf.predict_one(&[150., 80.]); assert_eq!(label, "Obesity"); ``` ## Reference - [k-NN algorithm](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm) - [k-NN algorithm (ja)](https://ja.wikipedia.org/wiki/K%E8%BF%91%E5%82%8D%E6%B3%95)

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