The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and linear algebra in Java. In addition to the basic operations like matrix multiplication, matrix inverse or matrix decomposition, it also supports visualization, JDBC import/export and many other useful functions such as mean, correlation, standard deviation, mutual information, or the replacement of missing values. It’s a swiss army knife for data processing in Java, tailored to machine learning applications.

References in zbMATH (referenced in 3 articles )

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  1. Kroshko, Andrew; Spiteri, Raymond J.: odeToJava: a PSE for the numerical solution of IVPS (2015)
  2. Taboada, Guillermo L.; Ramos, Sabela; Expósito, Roberto R.; Touriño, Juan; Doallo, Ramón: Java in the high performance computing arena: research, practice and experience (2013) ioport
  3. Lee, Joonseok; Sun, Mingxuan; Lebanon, Guy: PREA: personalized recommendation algorithms toolkit (2012) ioport