ELKI Data Mining Framework - Parent Project
· ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection.
In order to achieve high performance and scalability, ELKI offers many data index structures such as the R*-tree that can provide major performance gains.
ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions in particular of new methods.
ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms.
Download JD-GUI to open JAR file and explore Java source code file (.class .java)
Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window elki-project-0.7.1.jar file.
Once you open a JAR file, all the java classes in the JAR file will be displayed.
