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Project Summary

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

In a Nutshell, Java Data Mining Package (JDMP)...

GNU Lesser General Public License v3.0 only
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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Java
90%
XML
10%

30 Day Summary

May 20 2019 — Jun 19 2019

12 Month Summary

Jun 19 2018 — Jun 19 2019

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