[Hama Wiki] Trivial Update of "FrontPage" by udanax

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The "FrontPage" page has been changed by udanax.
http://wiki.apache.org/hama/FrontPage?action=diff&rev1=59&rev2=60

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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.
  
- [[GraphPackage| The graph package]], called [[GraphPackage| Angrapa]], 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 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.
+ [[GraphPackage| 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 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.
  
   * Scientific simulation and modeling 
    * Matrix-vector/[[MatrixMultiply|matrix-matrix multiply]]
    * Soving linear systems
-   * [[GraphAndMatrices| Scientific graphs]]
+   * [[GraphPackage| Scientific graphs]]
    * Scientific Business Intelligence
   * Information retrieval 
    * Sorting 
@@ -41, +41 @@

  
   * Examples
    * [[MatMult| Matrix Multiplication]]
-   * Graph representation using Hama
+   * [[CosineSimilarity| Cosine Similarity Matrix]]
-    * [[BFS| Breadth-First Search]] using Hama
+   * [[BFS| Breadth-First Search]] using Hama
  == Developer Documentation ==
  
   * [[HowToContribute| How to contribute]]