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The following page has been changed by udanax:
http://wiki.apache.org/hadoop/Matrix

The matrix package will be useful for LargeScale Numeric Analysis and Data Mining which
need the computation system of the Inverse Matrix (e.g. linear regression, PCA, SVM, ...,
etc).
 Generally, The current sharedmemory based parallel matrix solution provides a scalable
and high performance matrix operations, but, matrix resources can't be scalable. But, Using
Hbase's 2 dimensional Row and Column(Qualifier) space, we are able to store large sparse
matrix. Also, autopartitioned sparsity substructure will be efficiently managed and serviced
by Hbase. Row or Column operations can be done in linear time and algorithms such as structured
Gaussian elimination or iterative methods run in O(~the number of nonzero elements in the
matrix~ / ~number of mappers (processors/cores)~) time on Map/Reduce.
+ Generally, The current sharedmemory based parallel matrix solution provides a scalable
and high performance matrix operations, but, matrix resources can't be scalable. But, Using
Hbase's 2 dimensional Row and Column(Qualifier) space, we are able to store large sparse
matrix. Also, autopartitioned sparsity substructure will be efficiently managed and serviced
by Hbase. Row or Column operations can be done in linear time and algorithms such as structured
Gaussian elimination or iterative methods run in O(~the number of nonzero elements in the
matrix~ / ~number of mappers (processors/cores)~) time on Hadoop Map/Reduce.
=== Initial Contributors ===
@@ 29, +29 @@
* [http://wiki.apache.org/hadoopdata/attachments/Matrix/attachments/matrixtest_v0.0.1.tar
matrixtest_v0.0.1.tar]
 Included List
+ ==== Included List ====
* Matrix Addition/Substraction
* Matrix Multiplication
* Cholesky Decomposition
+
+ ==== Dependencies ====
+
+ * [:FrontPage: Hadoop] HDFS, Map/Reduce
+ * [:Hbase: Hbase] 3D multidimensional array space
=== Getting Start ===
Download the matrix package:
