Weka 3: Data Mining Software in Java
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
ere are listed some of the existing companion tools for Java™ development. We put the focus on the quality of the content. Boring marketing fluff is filtered out.
Although quite comprehensive, this list will never be exhaustive. You can submit new tools by using our submission form.
This site is in constant progress. New tools are added frequently. Use the RSS feeds to learn what's new or updated.
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"What I do not buy into is the idea that all systems should be seen either as services that expose their functionality only via unidirectional XML messaging or as clients of such systems"
Covers the followings about CELL: Cell Introduction, SDK, Programming Concepts, SIMD, DMA, Tools and Programming Models, , and Porting Tips and Techniques
Sommer is a very simple library for mapping Plain Old Java Objects (POJOs) to RDF graphs and back. Sommer stands for "Semantic Object (Metadata) MappeR".
Processing is an open source programming language and environment for people who want to program images, animation, and sound. It is used by students, artists, designers, architects, researchers, and hobbyists for learning, prototyping, and production.
FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications.