A simple K-Nearest Neighbor (KNN) Java library

What is this repository for?

• Its a very simple implementation of K-Nearest Neighbor algorithm for Supervide Learning (user labeled data)
• Version 1.0

Features presents

• The following similarities metrics are presents:
  • Euclidian Distance
  • Jaccard Distance
  • Pearson Correlation
  • Cosine Distance
  • Minkowski Distance (to be done)
  • Manhattan Distance (to be done)
  • Mahalanobis Distance (to be done)
• A naive knn implementation with (or without) k-fold cross-validation.

How to use

• Just clone the project
• Setup your project
• Init a SimpleKNNClassifier
• Inject the SimilarityCalculator of your choice into SimpleKNNClassifier instance
• Fit with some labeled data
• Train the classifier (you can choose if you want to train using k-fold cross validation or not)
• Pass some data to predict() method and see the label predicted