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courses:mapreduce-tutorial:step-15 [2012/01/28 23:23]
majlis Added links to previous and next chapter.
courses:mapreduce-tutorial:step-15 [2012/01/29 16:40] (current)
straka
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 | ''/​net/​projects/​hadoop/​examples/​inputs/​points-large''​ | 500000 | 200 | 200 | | ''/​net/​projects/​hadoop/​examples/​inputs/​points-large''​ | 500000 | 200 | 200 |
  
-When dealing with iterative algorithms, each iteration is usually implemented as one Hadoop job. The Hadoop input_path ​contains ​the input data and each mapper also reads the current clusters. The reducers are used to aggregate the data and output new cluster centers. A controlling script ​is taking ​care of executing Hadoop jobs and stopping the iteration when the algorithm converges.+When dealing with iterative algorithms, each iteration is usually implemented as one Hadoop job. The Hadoop ​''​input_path''​ should contain ​the input data and each mapper ​should ​also read the current clusters. The reducers are used to aggregate the data and output new cluster centers. A controlling script ​should take care of executing Hadoop jobs and stopping the iteration when the algorithm converges.
  
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