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The matrix package (means a hippopotamus in Korean) is a library of matrix operations on a Map/Reduce framework for a large-scale numerical analysis and data mining, that need the intensive computation power of matrix inversion, e.g., linear regression, PCA, SVM and etc. It will be useful for many scientific applications, e.g., physics computations, linear algebra, computational fluid dynamics, statistics, graphic rendering and many more.
The graph package, is an large-scale graph data management framework for analytical processing. It is still an ongoing project. It will employ massive parallelism on Hadoop. It aims to achieve the scalability for tera bytes or peta bytes graph data. Angrapa It will be used in a variety of scientific and industrial areas, such as data mining, machine learning, information retrieval, bioinformatics, and social networks, required to process large-scale graph data.
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- Matrix-vector/matrix-matrix multiply
- Soving linear systems
- Scientific graphs
- Scientific Business Intelligence
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- Sorting
- Finding eigenvalues and eigenvectors
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General Information
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User Documentation
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- Matrix Multiplication
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