Java Data Mining Package (JDMP)

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning.

It facilitates the access to data sources and machine learning algorithms (e.g. clustering, regression, classification, graphical models, optimization) and provides visualization modules. It includes a matrix library for storing and processing any kind of data, with the ability to handle very large matrices even when they do not fit into memory. Import and export interfaces are provided for JDBC data bases, TXT, CSV, Excel, Matlab, Latex, MTX, HTML, WAV, BMP and other file formats. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibSVM, Mallet, Lucene, Octave).

Tags

algorithms analysis artificial_intelligence classification classifiers clustering data data_analysis data_mining distributed intelligent_data_analysis java java_data_mining knowledge_discovery learning machine machine_learning mathematics networs neural neural_network optimization pattern_recognition