1. Map/Reduce方式实现矩阵相乘
http://www.norstad.org/matrix-multiply/index.html
2. Map/Reduce方式实现PageRank算法
http://blog.ring.idv.tw/comment.ser?i=369
http://code.google.com/p/map-reduce-assignment/source/browse/trunk/src/pagerank/?r=6
3. Map/Reduce方式实现TF/IDF
http://code.google.com/p/hadoop-clusternet/wiki/RunningMapReduceExampleTFIDF
4. Map/Reduce实现图最短路径
http://famousphil.com/blog/2011/06/a-hadoop-mapreduce-solution-to-dijkstra%E2%80%99s-algorithm/
http://hadooptutorial.wikispaces.com/Iterative+MapReduce+and+Counters
5. Map/Reduce实现最小生成树算法
http://hadooptutorial.wikispaces.com/Sorting+feature+of+MapReduce
6. Map/Reduce实现Aprori算法
7. Map/Reduce实现 Kmeans算法
http://codingwiththomas.blogspot.com/2011/05/k-means-clustering-with-mapreduce.html

本文探讨了Map/Reduce技术在矩阵运算、PageRank算法、TF-IDF、图最短路径、最小生成树算法、Aprori算法、Kmeans算法等数据处理任务中的应用。通过实际案例展示了如何利用Map/Reduce实现高效的数据处理流程。
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