What are some open source projects on machine learning/ data mining in Java?

There are several open-source projects related to machine learning and data mining in Java. Here are some notable ones:

1. Weka:

   • Website: Weka
   • Description: Weka is a popular suite of machine learning software that provides a wide range of tools for data mining tasks. It includes various algorithms for classification, regression, clustering, association rule mining, and more. Weka also provides a graphical user interface for ease of use.

2. Apache OpenNLP:

   • Website: Apache OpenNLP
   • Description: Apache OpenNLP is a machine learning toolkit for processing natural language text. It includes capabilities for tokenization, part-of-speech tagging, named entity recognition, and more. OpenNLP is widely used for building applications related to natural language processing (NLP).

3. ELKI:

   • Website: ELKI
   • Description: ELKI is an open-source data mining software written in Java. It focuses on providing a framework for implementing and evaluating data mining algorithms. ELKI supports clustering, outlier detection, and other data mining tasks and is designed for researchers and developers.

4. Java Machine Learning Library (Java-ML):

   • GitHub Repository: Java-ML
   • Description: Java-ML is a collection of machine learning and data mining algorithms implemented in Java. It includes various algorithms for classification, regression, clustering, and more. The library is designed to be easy to use and modular.

5. MOA (Massive Online Analysis):

   • Website: MOA
   • Description: MOA is an open-source framework for mining data streams in real-time. It includes a variety of machine learning algorithms suitable for handling evolving data streams. MOA is designed for researchers, practitioners, and students interested in online learning and data stream mining.

6. Deeplearning4j:

   • GitHub Repository: Deeplearning4j
   • Description: Deeplearning4j is an open-source deep learning library for Java and Scala. It supports building various deep learning models, including neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Deeplearning4j is suitable for tasks like image recognition, natural language processing, and more.

7. JSAT (Java Statistical Analysis Tool):

   • GitHub Repository: JSAT
   • Description: JSAT is a library for machine learning in Java. It provides a simple and flexible API for implementing and evaluating machine learning algorithms. JSAT supports various tasks, including classification, regression, clustering, and feature selection.

When working with these projects, it's essential to review their documentation, explore their capabilities, and choose the one that best fits your specific requirements and preferences. Additionally, keep in mind that the field of machine learning and data mining is dynamic, and new projects may emerge over time.