A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.

simple rules engine

基于朴素贝叶斯实现的一款微信公众号文章分类器

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Organize files in any directory by classifying them into different folders.

MACHINE LEARNING | Android Camera application to classify images

A fast implementation of the Random Forest algorithm for the Weka environment

Detect Licenses, dependencies by scanning your project/repositories to discover the Open Source and Third party packages used in your code.

Package provides java implementation of multi-layer perceptron neural network with back-propagation learning algorithm

A Java implementation of the k-nearest neighbors algorithm

FastRandomForest Weka package, based on https://code.google.com/archive/p/fast-random-forest/

🖼️ Scene classification system created in Java with OpenIMAJ

An implementation of the NBSVM classifier for Weka

An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity

Proposta de um Algoritmo Baseado em Particle Swarm Optimization (PSO) para Classificação de Dados.

A Java program to learn from a CSV dataset and then use the knowledge to classify an unseen sample

NEON mines rules for detecting natural language patterns in software informal documents. The inferred rules can be used for identifying and extracting relevant information embedded in unstructured texts.

Encog digits classification resilient training example with regulated sin as activation functions.

A Naive Bayes Classifier for classifying documents by programming language.