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Just a simple implementation of K-Nearest Neighbour algorithm.
knn-java-library's Introduction
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
- 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.
- 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
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knn-java-library's Issues
Could you please clarify the license? E.g. Apache 2.0 license?
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