jknn and knn-java-library
About jknn
Rabrg/jknn
A Java implementation of the k-nearest neighbors algorithm
This tool helps developers who need to categorize or predict outcomes based on similar past examples. It takes in structured data with known categories (for training) and then new, uncategorized data. The output is a predicted category for each new data point, based on the 'k' most similar training examples.
About knn-java-library
felipexw/knn-java-library
Just a simple implementation of K-Nearest Neighbour algorithm.
This library helps software developers quickly add a K-Nearest Neighbor (KNN) classification feature to their Java applications. You provide it with existing labeled data, and it learns to classify new, unlabeled data based on patterns in your examples. It's designed for developers building applications that need basic classification capabilities.
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